Vector Map API is a XYZ Vector Topographic Map Tile Service which enables application developers to retrieve vector topographic map tiles. With the Vector Map, the map presentation can be further customized by the developer using the Map Presentation Style file.

Highly accurate, professionally designed, enterprise-grade maps available worldwide.

Maps that receive 5 million updates on average per day across the globe for reliable navigation and data visualization.

Vector Tile API Use the freshest, daily updated HERE map data through tiles containing vector data and customize the map style to support your user needs.

Personalize your maps Configure the look and feel of your map by changing color, icon size, width, length and other properties of objects such as buildings, land features and roads. Display it all at the desired zoom level.

Pre-rendered map images Pre-rendered map images in multiple styles, such as base and aerial, optimized for various devices and OS’s. Request an image around a specific area, or at a specified location and zoom level.

Map Tile API Display server-rendered, raster 2D map tiles at different zoom levels, display options, views and schemes. Request tiles that highlight congestion and environmental zones.

Built-in fleet maps Integrate maps designed especially for fleet management applications with accentuated country borders and highways, toll roads within congestion charging zones and highway exits along routes.

Truck attributes layer Provide simple visual cues so that areas with truck restrictions are easily identifiable. Display truck restrictions such as height, weight or environmental restrictions on a variety of map styles.

Map Feedback Offer your users the possibility to edit the HERE map or report errors.

Die BaseMap ist eine dynamische Webkarte auf Basis der Vectortiles-Technologie mit Fokus auf mobile Nutzung, bei der die Kartenelemente vollständig in vektorieller Form (einschl. Geländedarstellungen) vorliegen. Integrierter Bestandteil der BaseMap sind Point-of-Interest zu verschiedenen Themenbereichen. Neben amtlichen Daten (u.a. topografisches Landschaftsmodell, digitales Höhenmodell, digitales kartografisches Modell, Haltestellen des öffentlichen Verkehrs und amtliches Verzeichnis der Strassen) sind Daten Dritter integriert. Der Inhalt variiert je nach Zoomstufe. Die Vektordarstellung basiert auf der Maplibre Style Spezifikation. Vektorkacheln (Base Vector Tileset, Relief Vector Tileset) bilden die Datengrundlage.

This API method is specifically designed for map integration. It retrieves all planning applications within a specified map tile that match the request parameters. The tile is defined using standard z, x and y parameters, with an extent of 4096 as defined by the Mapbox Vector Tile specification.

For each planning application, the response includes basic information such as the application id and key attributes. This allows for efficient filtering and display on a map. For detailed information, this method is intended to be used in conjunction with the Planning Application by id method, which returns rich data based on the application id.

The type and status fields return normalised values, processed using our internal algorithms to ensure consistency and clarity across all datasets.

Integration examples

• Leaflet with JSON format integration
• Open Layers with MVT format integration

Die «Imagery Base Map» stellt dank einer Kombination aus Orthobildern (entzerrte Luftbilder) und kartografischen Elementen einen guten Überblick der gegenwärtigen Landschaft dar. Sie baut auf amtlichen Daten auf: dem topografischen Landschaftsmodell, dem digitalen Höhenmodell, den digitalen kartografischen Modellen und dem amtlichen Verzeichnis der Strassen. Der Inhalt variiert je nach Zoomstufe. Die Vektordarstellung basiert auf der Maplibre Style Spezifikation. Vektorkacheln (Base Vector Tileset) bilden die Datengrundlage. Die Orthobilder (SWISSIMAGE) werden als Rasterkacheln dargestellt. Im Ausland werden von openmaptiles.org zur Verfügung gestellte Vector Tiles aus OpenStreetMap verwendet.

This vector tile layer presents the World Street Map Night basemap style. The style provides a detailed vector basemap for the world symbolized with a custom street map style that is designed for use at night or in other low-light environments. This comprehensive street map includes highways, major roads, minor roads, railways, water features, cities, parks, landmarks, building footprints, and administrative boundaries. This vector tile layer provides unique capabilities for customization and high-resolution display.The layer is used in the Streets (Night) basemap supporting the ArcGIS developers basemap gallery.ArcGIS Basemap Styles serviceWhen accessing the arcgis/streets-night basemap style, World Street Map Night is presented and uses the World_Basemap_v2 vector tile service on basemaps-api.arcgis.com. An ArcGIS account and access token are required.Learn more about how to use basemap layers in the Mapping and location services guide.Customize this StyleLearn more about customizing this vector basemap style using the Vector Tile Style Editor.

Die «Leichte Basiskarte» ist eine visuell und inhaltlich reduzierte Hintergrundkarte, welche die wichtigsten topographischen Objekte und Namen angepasst an die jeweilige Zoomstufe darstellt. Sie baut auf amtlichen Daten auf: dem topografischen Landschaftsmodell, dem digitalen Höhenmodell, den digitalen kartografischen Modellen, den Haltestellen des öffentlichen Verkehrs und dem amtlichen Verzeichnis der Strassen. Der Inhalt variiert je nach Zoomstufe. Die Vektordarstellung basiert auf der Maplibre Style Spezifikation. Vektorkacheln (Base Vector Tileset, Relief Vector Tileset) bilden die Datengrundlage. Im Ausland werden von openmaptiles.org zur Verfügung gestellte Vector Tiles aus Open Street Map verwendet.

The North American Roads dataset was compiled on October 27, 2020 from the Bureau of Transportation Statistics (BTS) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset contains geospatial information regarding major roadways in North America. On March 31, 2025, the errant records with a value of 2 in the "NHS" field were corrected to have a value of 7 (Other NHS). The data set covers the 48 contiguous United States plus the District of Columbia, Alaska, Hawaii, Canada and Mexico. The nominal scale of the data set is 1:100,000. The data within the North American Roads layer is a compilation of data from Natural Resources Canada, USDOT’s Federal Highway Administration, and the Mexican Transportation Institute. North American Roads is a digital single-line representation of major roads and highways for Canada, the United States, and Mexico with consistent definitions by road class, jurisdiction, lane counts, speed limits and surface type.

Zip Codes (5-digit). The dataset polygons represent location and attributes of zip codes, created as part of the DC Geographic Information System (DC GIS) for the D.C. Office of the Chief Technology Officer (OCTO) and participating D.C. government agencies. Zip Codes were identified from public records (US Postal Service) and created selecting arcs from the street centerlines and vector property map.

The Federal Motor Carrier Safety Administration (FMCSA) Regions dataset is as of October 06, 2022 from the Federal Motor Carrier Safety Administration (FMCSA) and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). This dataset is displayed as polygons depicting the regions covered by the four FMCSA Service Centers. More information on the FMCSA Service Centers, and territories each covers, can be found at: https://www.fmcsa.dot.gov/mission/field-offices

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2017 (LCM2017) representing Northern Ireland. It describes Northern Ireland's land cover in 2017 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2017 20m classified pixels dataset. All further LCM2017 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2017 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2017. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2017. LCM2017 was simultaneously released with LCM2018 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

Dataset information.

Parameters used for the mass-spring-damper system model.

This dataset consists of the 1km raster, percentage target class version of the Land Cover Map 1990 (LCM1990) for Great Britain. The 1km percentage product provides the percentage cover for each of 21 land cover classes for 1km x 1km pixels. This product contains one band per target habitat class (producing a 21 band image). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. This dataset is derived from the vector version of the Land Cover Map, which contains individual parcels of land cover and is the highest available spatial resolution. LCM1990 is a land cover map of the UK which was produced at the UK Centre for Ecology & Hydrology by classifying satellite images (mainly from 1989 and 1990) into 21 Broad Habitat-based classes. It is the first in a series of land cover maps for the UK, which also includes maps for 2000, 2007, 2015, 2017, 2018 and 2019. LCM1990 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the UKCEH web site and the LCM1990 Dataset documentation) to select the product most suited to their needs. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability.

The Military Bases dataset was last updated on October 23, 2024 and are defined by Fiscal Year 2023 data, from the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment and is part of the U.S. Department of Transportation (USDOT)/Bureau of Transportation Statistics (BTS) National Transportation Atlas Database (NTAD). The dataset depicts the authoritative locations of the most commonly known Department of Defense (DoD) sites, installations, ranges, and training areas world-wide. These sites encompass land which is federally owned or otherwise managed. This dataset was created from source data provided by the four Military Service Component headquarters and was compiled by the Defense Installation Spatial Data Infrastructure (DISDI) Program within the Office of the Assistant Secretary of Defense for Energy, Installations, and Environment. Only sites reported in the BSR or released in a map supplementing the Foreign Investment Risk Review Modernization Act of 2018 (FIRRMA) Real Estate Regulation (31 CFR Part 802) were considered for inclusion. This list does not necessarily represent a comprehensive collection of all Department of Defense facilities. For inventory purposes, installations are comprised of sites, where a site is defined as a specific geographic location of federally owned or managed land and is assigned to military installation. DoD installations are commonly referred to as a base, camp, post, station, yard, center, homeport facility for any ship, or other activity under the jurisdiction, custody, control of the DoD.

While every attempt has been made to provide the best available data quality, this data set is intended for use at mapping scales between 1:50,000 and 1:3,000,000. For this reason, boundaries in this data set may not perfectly align with DoD site boundaries depicted in other federal data sources. Maps produced at a scale of 1:50,000 or smaller which otherwise comply with National Map Accuracy Standards, will remain compliant when this data is incorporated. Boundary data is most suitable for larger scale maps; point locations are better suited for mapping scales between 1:250,000 and 1:3,000,000.

If a site is part of a Joint Base (effective/designated on 1 October, 2010) as established under the 2005 Base Realignment and Closure process, it is attributed with the name of the Joint Base. All sites comprising a Joint Base are also attributed to the responsible DoD Component, which is not necessarily the pre-2005 Component responsible for the site.

CLC12 is one of the datasets produced within the frame the Corine Land Cover programme referring to land cover / land use status of year 2012.

The Corine Land Cover (CLC) is an European programme, coordinated by the European Environment Agency (EEA), providing consistent information on land cover and land cover changes across Europe. CLC products are based on the photointerpretation of satellite images by the national teams of the participating countries - the EEA member or cooperating countries. The resulting national land cover inventories are further integrated into a seamless land cover map of Europe. The resulting European database is based on standard methodology and nomenclature with following base parameters: - 44 classes in the hierarchical 3-level Corine nomenclature - minimum mapping unit (MMU) for status layers is 25 hectares - minimum width of linear elements is 100 metres - minimum mapping unit (MMU) for Land Cover Changes (LCC) for change layers is 5 hectares

CLC programme provides important data sets supporting the implementation of key priority areas of the Environment Action Programmes of the European Community as protecting ecosystems, halting the loss of biological diversity, tracking the impacts of climate change, assessing developments in agriculture and implementing the EU Water Framework Directive etc.. CLC programme is also a part of the Global Monitoring for Environment and Security (GMES http://gmes.info) initiative, run by the European Commission and the European Space Agency, which will provide environmental information from a combination of air- and space-based observation systems and in-situ monitoring. More about the Corine Land Cover (CLC) programme and datasets can be found at http://www.eea.eu.

The National Oceanic and Atmospheric Administration (NOAA) Electronic Navigational Charts (ENC), found in the A-16 National Geospatial Data Asset Portfolio, support real-time navigation as well as collision and grounding avoidance needs of the mariner, and accommodate a real-time tide and current display capability that is essential for large vessel navigation. The NOAA ENC will support all types of marine navigation by providing the official database for electronic charting systems, including the Electronic Chart Display and Information System. NOAA ENCs will also provide fully integrated vector base maps for use in geographic information systems that are used for coastal management or other purposes. The NOAA ENCs are in the International Hydrographic Office S-57 international exchange format and comply with the ENC product specification. The ENC Harbor map service displays data compiled for ENC products with a scale range from street level (1:5,000) to town level (1:50,000).The ENC data used within this application will be updated weekly. This map layer is not intended for navigation purpose.Thumbnail image courtesy of: Kartverket

CORINE Land Cover (CLC) was specified to standardize data collection on land in Europe to support environmental policy development. The reference year of first CLC inventory was 1990 (CLC1990), and the first update created in 2000. Later the update cycle has become 6 years. The number of participating countries has increased over time − currently includes 33 European Environment Agency (EEA) member countries and six cooperating countries (EEA39) with a total area of over 5.8 Mkm2. Ortho-corrected high spatial resolution satellite images provide the geometrical and thematic basis for mapping. In-situ data (topographic maps, ortho-photos and ground survey data) are essential ancillary information. The project is coordinated by the EEA in the frame of the EU Copernicus programme and implemented by national teams under the management and quality control (QC) of the EEA. The basic technical parameters of CLC (i.e. 44 classes in nomenclature, 25 hectares minimum mapping unit (MMU) and 100 meters minimum mapping width) have not changed since the beginning, therefore the results of the different inventories are comparable.

The layer of CORINE Land Cover Changes (CHA) is produced since the second CLC inventory (CLC2000). CHA is derived from satellite imagery by direct mapping of changes taken place between two consecutive inventories, based on image-to-image comparison. Change mapping applies a 5 ha MMU to pick up more details in CHA layer than in CLC status layer. Integration of national CLC and CHA data includes some harmonization along national borders. Two European validation studies have shown that the achieved thematic accuracy is above the specified minimum (85 %). Primary CLC and CHA data are in vector format with polygon topology. Derived products in raster format are also available. The seamless European CLC and CHA time series data (CLC1990, CLC2000, CLC2006, CLC2012, CLC2018 and related CHA data) are distributed in the standard European Coordinate Reference System defined by the European Terrestrial Reference System 1989 (ETRS89) datum and Lambert Azimuthal Equal Area (LAEA) projection (EPSG: 3035). Results of the CLC inventories can be downloaded from Copernicus Land site free of charge for all users.

CLC data can contribute to a wide range of studies with European coverage, e.g.: ecosystem mapping, modelling the impacts of climate change, landscape fragmentation by roads, abandonment of farm land and major structural changes in agriculture, urban sprawl, water management.

The Helsinki district division data includes the boundary lines of the districts within the city, as well as the names and identifiers of the areas. The district division system of Helsinki is a regional division of the entire area of Helsinki created for administrative purposes.

The district divisions consist of the following area levels: major district, district, city sub-district and small district. The initial data for the maintenance of the district divisions is the base map and up-to-date detailed plans. The data is maintained in vector form in the Oracle Spatial database. District divisions are constantly updated on the basis of decisions made by the city geodesist.

The data is maintained by the City Survey Services of the City of Helsinki Urban Environment Division. The district division data is published as open data as the boundaries change.

Previewing the data in the map.hel.fi service:

• Major districts
• Districts
• Small districts
• All base maps layers active
• All base map layers can be found on the website: https://kartta.hel.fi/ > Layers > Background Maps > Base maps

Coordinate systems:

• Maintained in ETRS-GK25 (EPSG:3879), can be projected to other coordinate systems. See GetCapabilities query for other possible coordinate systems.

API addresses:

• WMS API: https://kartta.hel.fi/ws/geoserver/avoindata/wms
• WFS API: https://kartta.hel.fi/ws/geoserver/avoindata/wfs

Layers:

• District division_major district
• District division_basic circuit
• District division_subdivision
• District_small area

District divisions: attributes, data types and their key and reliability data:

• id (int). Unique identifier of the feature. Reliable, comprehensively existing information.
• regional division (string). Type of regional division. Reliable, comprehensively existing information.
• municipality (string). Municipality. Reliable, comprehensively existing information.
• the symbol (string). Identification number of the district division. Reliable, comprehensively existing information.
• name_en (string). Name of the district division in Finnish. Reliable, comprehensively existing information.
• name_se (string). Name of the district division in Swedish. Reliable, comprehensively existing information.
• Date of creation (date). Feature creation date (yyyy-mm-dd). Reliable, comprehensively existing information.
• Date of editing (date). Previous editing date of the feature (yyyy-mm-dd). Reliable, comprehensively existing information.
• contact owner (string). Data owner. Reliable, comprehensively existing information.
• size code (string). ID of the combination of district divisions. Reliable, comprehensively existing information.
• to the paivittu_information service on (date). Date of update in information service. (yyyy-mm-dd). Reliable, comprehensively existing information.
• data owner (string). Data owner organisation. Reliable, comprehensively existing information.
• geom (GeometryPropertyType). Geometry of the feature.

Helsinki district division boundaries 1995-2021

The Helsinki district division boundaries 1995-2021 data includes the boundary lines of the Helsinki districts, as well as the names and identifiers of the areas from the years 1995-2021. For the years 1995-2000, the data is missing the boundaries of small districts. The source of the publication is the Seutu-CD produced by HSY and the Regional Map published on it.

This Excel file contains the Helsinki regional divisions for 2016 covering all area levels. The file contains the area codes of the Regional Map, the official regional names of Helsinki and the code+name used by Statistics Finland in its data. The second data consists of postal area codes for city sub-districts and small districts on their own tabs. In particular, the city sub-districts do not fit inside postal areas precisely in all areas (see the map).