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

geodata data package providing geojson polygons for all the world's countries

Geolocet's POI Data spans the entire European continent, offering a wealth of information about Points of Interest in all countries. The extensive database covers a wide spectrum of sectors, providing valuable insights into the retail landscape, healthcare facilities, educational institutions, and much more. Whether seeking insights into markets, healthcare services, or educational access, Geolocet's POI data offers access to comprehensive information.

🔍 Uncover the Essence of Localities

Geolocet's POI Data allows exploration into the unique characteristics of various localities. With information available for more than 2,500 types of Points of Interest (POIs), including businesses, services, and amenities within specific regions, Geolocet provides valuable aggregated insights. Alternatively, for those seeking precise locations, Geolocet can provide the exact coordinates of individual POIs. This granularity offers the flexibility to craft insightful profiles of local communities or pinpoint specific POIs, aiding in tailored strategies and decisions for specific areas.

🌍 Customizable Data Solutions

At Geolocet, we recognize the significance of tailored solutions, which is why our POI Data is entirely customizable to meet your specific requirements. Whether you need data for a single region, or multiple countries, Geolocet's flexible data solutions empower you to select and acquire precisely the information you need.

Tailored Selection: Our platform allows users to choose the sectors and geographic regions that align most closely with their objectives.

Preferred Formats: Data can be received in your preferred formats, whether it's Shapefile, GeoJSON, or any other compatible format.

Moreover, we provide two distinct lists of available attributes to cater to your diverse data needs:

For Customers Requiring Points Data: - ID - Name - Category - Location Latitude - Location Longitude - Address (available for 50% of records) - Phone Number - Email Address - Website - Opening Hours - Brand - Operator - Wheelchair Accessibility - Uber Grid Cell IDs

Please note that data availability within the above list of attributes may vary depending on the POI category.

For Customers Needing Aggregated Data:

• ID of the Area
• Name of the Area
• Number of Clothing Stores
• Number of Restaurants
• Number of Cafes
• Number of Bars
• Number of Cinemas
• Number of Schools
• Number of Universities
• Number of Hospitals

It's important to emphasize that the attributes listed for the Aggregated datasets serve as examples. Geolocet offers complete flexibility, allowing you to customize attributes to suit your specific needs.

Reach out to Geolocet today to explore how our POI Data can enhance your decision-making processes and provide invaluable insights for your success.

🔄 Regular Data Updates

To maintain current and relevant insights, Geolocet's POI data undergoes regular updates. Our subscription models provide access to the latest information, enabling users to stay ahead in analyses and strategies. Recognizing the importance of up-to-date data in today's fast-paced world, Geolocet supports ongoing data needs.

🌐 Integration Potential

Geolocet's POI Data seamlessly integrates with other data offerings, including Administrative Boundaries Spatial Data and Demographic Data. This integration enriches insights and provides a holistic understanding of regions. Combining POI data with administrative boundaries and demographic information empowers data-driven decisions that consider the broader context.

🔍 Craft Informed Strategies

Geolocet's POI Data goes beyond numbers, uncovering the essence of each locality and understanding its unique characteristics. Whether in retail, healthcare, education, or any other sector, the data equips users with the insights needed to craft informed strategies, optimize resource allocation, and make decisions that resonate with the target audiences.

🔍 Customized Data Solutions with DaaS

Geolocet's Data as a Service (DaaS) offers flexibility tailored to needs. The transparent pricing model ensures cost-efficiency, allowing payment solely for the required data. Whether a startup is exploring a local market or a multinational corporation is analyzing multiple regions, Geolocet provides solutions that align with those objectives.

Contact Geolocet today to explore how the POI Data can elevate decision-making processes and provide valuable insights for success in those endeavors.

Unlike in the United States, postal codes do not allow for a geographical division of the country. The same postal code can be used for addresses in several municipalities, and a municipality may have addresses with different postal codes. For more information, see article on Wikipedia.

Very exceptionally, it may be useful to have contours, especially when a procedure is built exclusively on the entry of a postal code.

This dataset contains a polygon by postal code significantly used in the National Address Base. Each polygon is a simple convex envelope around addresses using the same postal code. The polygons overlap quite widely.

Two attributes are proposed: ‘Codepostal’ and ‘nbNumeros’ (number of addresses attached in the BAN).

• Description: Smallest functionally independent piece of a NEN 3610 Road with uniform, homogeneous properties and relationships and primarily intended for use by road, rail and air traffic on land.
• Objective registration: Manage public space ***Limitations:** This dataset is not suitable for legal or surveying purposes
• Possibilities: This dataset is suitable for providing insight into the location on the map
• Viewer: https://arcg.is/jCLHD
• Coordinate system: RDnew
• Data model: IMGEO for info: http://www.geonovum.nl/sites/default/files/BGTData Catalogue111.pdf

This data set is composed by 5 geojson files, that can be used to generate maps of mainland France :

motifs_all.geojson : pattern about transport extracted from contributions of the French Great National Debate (Grand Débat National). Original dataset : https://granddebat.fr/pages/donnees-ouvertes

bikeway_fr.geojson and railroad_fr.geojson : cycleways and railways of mainland France, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html

trainstations.geojson : train stations and halts of mainland France, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html

au2010_carto.geojson : categorized urban areas of mainland France. Original dataset : https://www.insee.fr/fr/information/2115011

communesimportantes.geojson : the main cities of mainland France

The data set is in French.

Ce jeu de données est composé de 5 fichiers geojson qui peuvent être utilisés pour générer des cartes en France métropolitaine :

motifs_all.geojson : motifs à propos du transport extraient des contributions en ligne au Grand Débat National. Jeu de données d'origine : https://granddebat.fr/pages/donnees-ouvertes

bikeway_fr.geojson and railroad_fr.geojson : pistes cyclables et voies ferrées en France métropolitaine, venant d'Open Street Map. Jeu de données d'origine : https://download.geofabrik.de/europe/france.html

trainstations.geojson : gares et petites gares en France métropolitaine, from Open Street Map. Original dataset : https://download.geofabrik.de/europe/france.html

au2010_carto.geojson : aires urbaines catégorisées en France métropolitaine, définies par l'INSEE. Jeu de données d'origine : https://www.insee.fr/fr/information/2115011

communesimportantes.geojson : principales villes de France métropolitaine

European and cross-border cycle paths 2021 Sources: EuroVelo, biroto-Redaktion (biroto.eu), Luxembourg for Tourism 2021, OpenStreetMap and Contributors, Saarschleifenland Tourismus GmbH, Service pubic de Wallonie - DGO1, Stadtverband Saarbrücken, Tourismus Zentrale Saarland GmbH. Harmonization: SIG-GR / GIS-GR 2021

HitHorizons Manufacturing Company Data API gives access to aggregated firmographic data on 4,289,762 manufacturing companies from the whole of Europe and beyond.

Company registration data: company name national identifier and its type registered address: street, postal code, city, state / province, country business activity: SIC code, local activity code with classification system year of establishment company type location type

Sales and number of employees data: sales in EUR, USD and local currency (with local currency code) total number of employees sales and number of employees accuracy local number of employees (in case of multiple branches) companies’ sales and number of employees market position compared to other companies in a country / industry / region

Industry data: size of the whole industry size of all companies operating within a particular SIC code benchmarking within a particular country or industry regional benchmarking (EU 27, state / province)

Contact details: company website company email domain (without person’s name)

Invoicing details available for selected countries: company name company address company VAT number

• Beschrijving: Kleinste functioneel onafhankelijk stukje van een NEN 3610 Weg met gelijkblijvende, homogene eigenschappen en relaties en primair bedoeld voor gebruik door weg-, spoor- en vliegverkeer te land.
• Doel registratie: Beheer openbare ruimte
• Beperkingen: Deze dataset is niet geschikt voor juridische of landmeetkundige doeleinden
• Mogelijkheden: Deze dataset is geschikt voor het inzichtelijk maken van de locatie op de kaart
• Viewer: https://arcg.is/jCLHD
• Coördinatenstelsel: RDnew
• Datamodel: IMGEO voor info: http://www.geonovum.nl/sites/default/files/BGTGegevenscatalogus111.pdf

A simple GeoJSON file with LineString features allowing reproducible testing of the Geovisualization component of the European Data Portal

Viabundus.eu is a freely accessible online street map of late medieval and early modern northern Europe (1350-1650). Originally conceived as the digitisation of Friedrich Bruns and Hugo Weczerka's Hansische Handelsstraßen (1962) atlas of land roads in the Hanseatic area, the Viabundus map moves beyond that. It includes among others: a database with information about settlements, towns, tolls, staple markets and other information relevant for the pre-modern traveller; a route calculator; a calendar of fairs; and additional land routes as well as water ways.

Viabundus is a work in progress. Version 1.1, released on 6 December 2021, contains a rough digitisation of the land routes from Hansische Handelsstraßen, as well as a thoroughly researched road network for the current-day Netherlands, Denmark and the German states of Lower Saxony, Schleswig-Holstein, Thuringia and Saxony-Anhalt. The roads in the German states Mecklenburg-Vorpommern and Brandenburg, as well as the part of the former Duchy of Pomerania now in Poland, have been corrected for historical accuracy. The inclusion of other regions is currently being planned. Additions to the dataset will be released as new versions in the future.

The project's homepage viabundus.eu contains a web map application to explore the data. To allow for more advanced spatial and historical analyses, the underlying dataset is available for download under the CC-BY-SA license.

The dataset is designed as a network model and therefore consists of two main elements: 1) a relational database of nodes, i.e. geographical places, with historical information about settlements, towns, tolls, staple markets, fairs, bridges, ferries, harbours and shipping locks; 2) a database with edges, i.e. the geospatial representations of the land and water routes that connected these nodes. The entire database is available in CSV format (with geospatial geometry as WKT); the edges and the outlines of towns in the 16th century are also separately available as geojson and GML files. For more information about the structure of the dataset, theoretical considerations and sources, please consult the enclosed documentation file.

Pour plus d’informations: https://wiki.openstreetmap.org/wiki/DE:Tag:shop%3Dbeverages

The trainlines show the train connections between the countries and metropolitan areas in Europe. These can be used for a better understanding of (inter)national connectiveness by train and stimulate cooperation between the European countries.

Created for the Mapping METREX GIS-viewer, hosted by province South-Holland. Link to the viewer: https://experience.arcgis.com/experience/2a24effbf2a1495aa0d20966f4b70886/

• Beschrijving: Bomen die beheerd worden door de Gemeente Den Haag
• Beperkingen: Deze dataset is niet geschikt voor juridische of landmeetkundige doeleinden
• Mogelijkheden: Deze dataset is geschikt voor het inzichtelijk maken van de locatie op de kaart
• Viewer: http://arcg.is/0GDbf0
• Coördinatenstelsel: RDNew
• Datamodel: IMGEO voor info: http://imgeo.geostandaarden.nl/

The dataset contains delimitation of borders of dialect regions, subgroups, areas and types in the Czech Republic. It is the result of an extensive expert revision that was based on various sources and made the delimitation exact and accurate. At the same time, the dataset corresponds to the underlying data of the Mapka application running at https://korpus.cz/mapka/

There are four files in this submission. Two files contain the delimitation of dialect regions ("oblasti"; both in GeoJSON and Shapefile formats) and two files contain the delimitation of smaller dialect areas, i.e. subgroups, areas and types ("oblasti_jemne"; again in GeoJSON and Shapefile formats).

HitHorizons Employee Data API gives access to aggregated company data on 80M+ companies from the whole of Europe and beyond.

Company registration data: company name national identifier and its type registered address: street, postal code, city, state / province, country business activity: SIC code, local activity code with classification system year of establishment company type location type

Sales and number of employees data: sales in EUR, USD and local currency (with local currency code) total number of employees sales and number of employees accuracy local number of employees (in case of multiple branches) companies’ sales and number of employees market position compared to other companies in a country / industry / region

Industry data: size of the whole industry size of all companies operating within a particular SIC code benchmarking within a particular country or industry regional benchmarking (EU 27, state / province)

Contact details: company website company email domain (without person’s name)

Invoicing details available for selected countries: company name company address company VAT number

Mapping for medium scales (from 1/25 000th to 1/75 000th) in the territory of the Urban Community of Strasbourg, adjacent municipalities and the city of Kehl (620 km²). It is a schematic comic (lane axis) of decametric precision, including built islands, communication axes, green spaces, streams, public places, level points and toponymy. It is the reference information for communication, consultation and volume dissemination actions at the intercommunal level. The database is vectored in 2 Dimensions. It has 17 classes, or about 22000 objects. Its update is annual. Download in gpk format Download in geojson format Download in shp format Download in dwg format These files are updated every 3 months.

Aims and scope

The European Alien Species Information Network team (EASIN, http://easin.jrc.ec.europa.eu) of the Joint Research Centre (JRC) requests the European member states to provide and verify the baseline distribution data of invasive alien species of Union Concern (Tsiamis et al. 2017) as provided by the EASIN mapping system (Katsanevakis et al. 2012). These are species with documented biodiversity impacts sensu the European Union Regulation on the prevention and management of the introduction and spread of Invasive Alien Species in Europe (IAS Regulation No 1143/2014) (European Union 2014). The purpose of this baseline is to set a representative geographic account of the distribution of these species at (i) country and (ii) 10km2 grid level before the entry into force of the Regulation (and the listing of species through implementing regulations). This distribution provides the baseline for subsequent reporting by the member states as required by the IAS Regulation.

The dataset provides a shapefile on the baseline distribution of the invasive species of EU concern in Belgium based on an aggregated dataset (ias_belgium_t0_xxxx). Data were compiled from various datasets holding invasive species observations such as data from research institutes and research projects (76%), citizen science observatories (23%) and a range of other sources (1%) such as governmental agencies, water managers, invasive species control companies, angling and hunting organizations etc. Data were normalized using a custom mapping of the original data files to Darwin Core (Wieczorek et al. 2012) where possible. Species names were mapped to the GBIF Backbone Taxonomy (GBIF 2016) using the species API (http://www.gbif.org/developer/species). Appropriate selection of records was performed based on predefined cut-off dates (see data range) and record content validation (see validation procedure). Data were then joined with GRID10k layer Belgium based on GRID10k cellcodes (ETRS_1989_LAEA).

File description

The dataset contains two types of data:

Shapefiles (ias_belgium_t0_2016.zip, ias_belgium_t0_2018.zip, ias_belgium_t0_2020.zip and ias_belgium_t0_2023.zip) providing the presence of the species of EU concern at 10km2 (European Terrestrial Reference System projection - 1989 ETRS_1989_LAEA) level (resp. for 1st, 2nd, 3rd and 4th batch of species added to the Union List). The attributes table field “ACCEPTED” provides coded information on the distribution validation: correct squares (Y) represent data overlapping between the collated baseline data for Belgium and the EASIN maps. Incorrect data (N) can represent records mapped on wrong 10km2 squares, non-validated records or records that fall outside of the date range applied. New squares (New) represent previously unpublished data that were absent from EASIN. The work was supervised and validated by the Belgian national scientific council on invasive alien species, an official consultative structure coordinating scientific input and data aggregation between Belgian regions and institutions with regards to technical implementation of the Regulation No 1143/2014 on invasive alien species.

A geojson version of the same shapefiles (ias_belgium_t0_2016.geojson, ias_belgium_t0_2018.geojson, ias_belgium_t0_2020.geojson, ias_belgium_t0_2023.geojson), in WGS84 projection.

Date range

The baseline distribution reflects the current status and situation of the IAS of Union concern in Belgium at 10km2 grid level. Historical records were not taken into consideration for the baseline. The choice of cut-off date was based on an analysis of the relative contribution of a year in defining the total distribution of the species at 1km2 grid level (calculated as [the sum of unique UTM 1km2 grid squares year-1/total number of unique UTM 1km2 grid squares for that species]) based on the complete dataset.

The dataset comprises observations of Union List invasive species from 2000 until the entry into force for every species, hence between January 2000 (2000-01-01) and February 2016 (2016-01-31) for the species of the first batch (ias_belgium_t0_2016.zip), between January 2000 (2000-01-01) and August 2017 (2017-08-31) for the species of the first update of the Union List (ias_belgium_t0_2018.zip), between January 2000 (2000-01-01) and August 2019 (2019-08-31) for the species of the second update of the Union List (ias_belgium_t0_2020.zip), between January 2000 (2000-01-01) and August 2022 (2022-08-2) for the species of the third update (ias_belgium_t0_2023.zip). For raccoon dog (Nyctereutes procyonoides), included in the second update (ias_belgium_t0_2020.zip) the date cut-off is 01/01/2000 to 31/01/2019. Note that Pistia stratiotes, Xenopus laevis and Fundulus heteroclitus enter into force only as from 2 August 2024, Celastrus orbiculatus on 2 August 2027 because of prolonged transitionary measures. However, these species are already included in the baseline now with a cut-off date set on August 2022. The data include both casual records as well as established populations and also comprise data from eradicated populations for the period 2000-2022.

Validation procedure

Record validation was performed to exclude dubious records, wrong identifications etc. This was done based on the IdentificationVerificationStatus field (to which validation information from original data were mapped) if available. In general, non-validated data were not considered for ias_belgium_t0_xxxx. Data were validated in the original datasets based on evidence (e.g. pictures), on the observer’s experience, or based on a set of predefined rules (e.g. automated validation based on geographic filtering). Data from research institutes were generally considered validated. A few casual records of EU list species that were clearly planted were discarded manually. When the original dataset did not mention any validation status, records were not considered validated and therefore not taken into account for ias_belgium_t0_xxxx, unless for Chinese mitten crab Eriocheir sinensis, ruddy duck Oxyura jamaicensis, raccoon Procyon lotor, Siberian ground squirrel Tamias sibiricus, sacred ibis Threskiornis aethiopicus, and red-eared slider Trachemys spp. For these species, we assumed all records were correct as they originate from dedicated sampling (E. sinensis) within research projects or represent species that are readily recognizable by people in the field. Likewise, for the second batch species, all records of Egyptian goose Alopochen aegyptiaca, Himalayan balsam Impatiens glandulifera, giant hogweed Heracleum mantegazzianum and muskrat Ondatra zibethicus (mostly derived from public eradication services) were considered validated and taken into account. For the third batch species, records of the widespread tree of heaven Ailanthus altissima and pumpkinseed Lepomis gibbosus were also considered validated. For species with less than 10 records (Salvinia molesta, Acridotheres tristis), every record was manually checked.

A visual check was performed on the resulting distribution maps by representatives of the Belgian scientific council on IAS and the Belgian Comittee on IAS, two official bodies created in response to the EU Regulation within the framework of a cooperation agreement between the Belgian regions and the Federal Authority. Data in the distribution maps provided by EASIN but not present in ias_belgium_t0_xxxx were carefully checked and kept/rejected accordingly.

Data providers

The providers of the invasive species data for this exercise (individuals and their respective organizations) are listed in the "data providers" section of the dataset metadata. Much of the primary occurrence data that formed the basis for this aggregated dataset will be published as open data on the Global Biodiversity Information Facility (GBIF) within the framework of the Tracking Invasive Alien Species project (TrIAS, https://osf.io/7dpgr/, 2017-2020).

OGC API Features service for downloading INSPIRE data, in the geographical area of Catalonia. The service allows the download of the INSPIRE data layers published by the Cartographic and Geological Institute of Catalonia.

This dataset contains useful vector maps to work with with Goode's Homolosine projection. The list of files included are: CounterDomain.geojson - a polygonal approximation of the Homolosine projection counter-domain. This can be used to fix vectors wrongly projected by programmes that consider the counter-domain to be infinite. It can also be used to represent the seas in global mapping. ParallelsMeridians.geojson - a set of meridians and parallels to be used in the creation of global maps. Homolosine.crs - the PROJ string defining the Homolosine projection (referenced by the GeoJSON slides) LICENCE - full text of the licence (EUPL-1.2) These datasets were generated with the open souce programme homolosine-vectors, available at: https://gitlab.com/ldesousa/homolosine-vectors