OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for French Polynesia in a GIS-friendly format.

The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly.

The goal is to increase awareness among Pacific GIS users of the richness of OpenStreetMap data in Pacific countries, as well as the gaps, so that they can take advantage of this free resource, become interested in contributing to OSM, and perhaps join the global OSM community.

OpenStreetMap data is open data, with a very permissive licence. You can download it and use it for any purpose you like, as long as you credit OpenStreetMap and its contributors. You don't have to pay anyone, or ask anyone's permission. When you download and use the data, you're granted permission to do that under the Open Database Licence (ODbL). The only conditions are that you Attribute, Share-Alike, and Keep open.

The required credit is “© OpenStreetMap contributors”. If you make a map, you should display this credit somewhere. If you provide the data to someone else, you should make sure the license accompanies the data

https://www.openstreetmap.org/images/osm_logo.png" alt="" /> OpenStreetMap (openstreetmap.org) is a global collaborative mapping project, which offers maps and map data released with an open license, encouraging free re-use and re-distribution. The data is created by a large community of volunteers who use a variety of simple on-the-ground surveying techniques, and wiki-syle editing tools to collaborate as they create the maps, in a process which is open to everyone. The project originated in London, and an active community of mappers and developers are based here. Mapping work in London is ongoing (and you can help!) but the coverage is already good enough for many uses.

Browse the map of London on OpenStreetMap.org

Downloads:

The whole of England updated daily:

• england.osm.bz2 ~185M - .osm formatted raw XML data (compressed)
• england.shp.zip ~156M - ESRI shapefiles

For more details of downloads available from OpenStreetMap, including downloading the whole planet, see 'planet.osm' on the wiki.

Data access APIs:

Download small areas of the map by bounding-box. For example this URL requests the data around Trafalgar Square:
http://api.openstreetmap.org/api/0.6/map?bbox=-0.13062,51.5065,-0.12557,51.50969

Data filtered by "tag". For example this URL returns all elements in London tagged shop=supermarket:
http://www.informationfreeway.org/api/0.6/*[shop=supermarket][bbox=-0.48,51.30,0.21,51.70]

The .osm format

The format of the data is a raw XML represention of all the elements making up the map. OpenStreetMap is composed of interconnected "nodes" and "ways" (and sometimes "relations") each with a set of name=value pairs called "tags". These classify and describe properties of the elements, and ultimately influence how they get drawn on the map. To understand more about tags, and different ways of working with this data format refer to the following pages on the OpenStreetMap wiki.

• .osm - About the raw XML data format of OpenStreetMap
• Downloading data - More details of the API and extract download options
• Xapi - The extended api for filtering by tag
• Map Features - A list of tags, and what map features they represent
• Converting map data between formats - catalogue of tools for converting from .osm to other formats

Simple embedded maps

Rather than working with raw map data, you may prefer to embed maps from OpenStreetMap on your website with a simple bit of javascript. You can also present overlays of other data, in a manner very similar to working with google maps. In fact you can even use the google maps API to do this. See OSM on your own website for details and links to various javascript map libraries.

Help build the map!

The OpenStreetMap project aims to attract large numbers of contributors who all chip in a little bit to help build the map. Although the map editing tools take a little while to learn, they are designed to be as simple as possible, so that everyone can get involved. This project offers an exciting means of allowing local London communities to take ownership of their part of the map.

Read about how to Get Involved and see the London page for details of OpenStreetMap community events.

This dataset includes an OpenStreetMap extracts for buildings in Haiti. Also see the Haiti OpenStreetMap extract, Roads and Haiti OpenStreetMap extract, POIs datasets on HDX.

The shapefiles include all building features in the OpenStreetMap database for Haiti, including the following tags:

• building=*
• building:levels=*
• building:material=*

See the Humanitarian OpenStreetMap Team website for more information on the response.

OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for 21 Pacific Island Countries, in a GIS-friendly format. The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly and contains data for Cook Islands, Federated States of Micronesia, Fiji, Kiribati, Republic of the Marshall Islands, Nauru, Niue, Palau, Papua New Guinea, Samoa, Solomon Islands, Tonga, Tuvalu, Vanuatu, Guam, Northern Mariana Islands, French Polynesia, Wallis and Futuna, Tokelau, American Samoa as well as data on the Pacific region. The goal is to increase awareness among Pacific GIS users of the richness of OpenStreetMap data in Pacific countries, as well as the gaps, so that they can take advantage of this free resource, become interested in contributing to OSM, and perhaps join the global OSM community.

OpenStreetMap (OSM) is a free, editable map & spatial database of the whole world. This dataset is an extract of OpenStreetMap data for Guam in a GIS-friendly format. The OSM data has been split into separate layers based on themes (buildings, roads, points of interest, etc), and it comes bundled with a QGIS project and styles, to help you get started with using the data in your maps. This OSM product will be updated weekly. The goal is to increase awareness among Pacific GIS users of the richness of OpenStreetMap data in Pacific countries, as well as the gaps, so that they can take advantage of this free resource, become interested in contributing to OSM, and perhaps join the global OSM community.

This dataset includes an OpenStreetMap extracts for POIs in Haiti. Also see the Haiti OpenStreetMap extract, Buildings and Haiti OpenStreetMap extract, Roads datasets on HDX.

The shapefiles include all building features in the OpenStreetMap database for Haiti, including the following tags:

• amenity=*
• man_made=*
• shop=*

See the Humanitarian OpenStreetMap Team website for more information on the response.

Daily extract of buildings in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1]. The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the carto portal — analysable over the last 30 days via the Change Tracking Portal Data model The OSM attributes used to filter the data are: * building=* Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object. More information about: * the building-specific data model on the OSM Wiki page — FR:Key:building=* [2] the general OSM data model is documented on the OSM Wiki page — Map Elements [3]. the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [4] [1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] https://wiki.openstreetmap.org/wiki/FR:Key:building [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.org/keys/building Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyrightDaily extract of buildings in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1]. The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the carto portal — analysable over the last 30 days via the Change Tracking Portal Data model The OSM attributes used to filter the data are: building=* Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object. More information about: the building-specific data model on the OSM Wiki page — FR:Key:building=* [2] the general OSM data model is documented on the OSM Wiki page — Map Elements [3]. the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [4] [1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] https://wiki.openstreetmap.org/wiki/FR:Key:building [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.org/keys/building Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright

Daily extract of clinics in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1]. The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the carto portal — analysable over the last 30 days via the Change Tracking Portal Data model The OSM attributes used to filter the data are: amenity=clinic We find in the layer all the objects concerned whether they are mapped in the form of a node, path or relationship in OSM. For polygons and multi-polygons, the geometry provided corresponds to the centroid, the original geometry is available in EWKT format via the attribute ‘osm_original_geom’ and the original type in a column ‘osm_type’. Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object. More information about: the ** hospital-specific data model** on the OSM Wiki page — EN:Tag:amenity=clinic [2] the general OSM data model is documented on the OSM Wiki page — Map Elements [3]. the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [4] [1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] https://wiki.openstreetmap.org/wiki/FR:Tag:amenity%3Dclinic [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.fr Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright

The data is in the form of a CSV table that identifies the components of the transmission grid operators (substations, transformers, and lines) in AT, BE, CZ, DE, FR, HU, HR, LU, NL, PL, RO, SI, and SK given in the Core-TSO data: https://www.jao.eu/staticgrid-model, second release, with OpenStreetMap (OSM) objects. The table was produced by geolocating the substations. To this purpose, the packages https://gitlab.com/dlr-ve-esy/esy-osm-pbf and https://gitlab.com/dlr-ve-esy/esy-osm-shape were used to extract the data from OSM and the package https://github.com/seatgeek/fuzzywuzzy was used to match the names of the substations in Core-TSO data and OSM. The value of this table is that one can produce models of the extra high voltage grid with highly reliable technical data (from Core-TSO) and precise coherent geolocations (from OSM). Additionally, a PyPSA network is created from the table (including buses, lines and transformers as well as the components not used to create the network). A detailed documentation is provided in a separate PDF file.

Important Note: This item is in mature support as of December 2024. See blog for more information.This 3D scene layer presents OpenStreetMap (OSM) buildings data hosted by Esri. Esri created buildings and trees scene layers from the OSM Daylight map distribution, which is supported by Facebook and others. The Daylight map distribution has been sunsetted and data updates supporting this layer are no longer available. You can visit openstreetmap.maps.arcgis.com to explore a collection of maps, scenes, and layers featuring OpenStreetMap data in ArcGIS. You can review the 3D Scene Layers Documentation to learn more about how the building and tree features in OSM are modeled and rendered in the 3D scene layers, and see tagging recommendations to get the best results.OpenStreetMap is an open collaborative project to create a free editable map of the world. Volunteers gather location data using GPS, local knowledge, and other free sources of information and upload it. The resulting free map can be viewed and downloaded from the OpenStreetMap site: www.OpenStreetMap.org. Esri is a supporter of the OSM project.Note: This layer is supported in Scene Viewer and ArcGIS Pro 3.0 or higher.

Daily extract of cyclable routes in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1]. The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the portal — analysable over the last 30 days via the Change Tracking Portal Data model The OSM attributes used to filter the data are: road = bicycle route = mtb Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object. More information about: the data model specific to all-terrain cycling itineraries on the Wiki page OSM — FR:Cycling all-terrain [2]. the general OSM data model is documented on the OSM Wiki page — Map Elements [3]. the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [4] [1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] https://wiki.openstreetmap.org/wiki/FR:Cyclisme_tout_terrain [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.fr Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright

Daily extract of the ** metro routes** in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1]. The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the portal — analysable over the last 30 days via the Change Tracking Portal Data model The OSM attributes used to filter the data are: route = subway Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object. More information about: the data model specific to metro routes on the OSM Wiki page — Tag:route=subway [2]. the general OSM data model is documented on the OSM Wiki page — Map Elements [3]. the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [4] [1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] h https://wiki.openstreetmap.org/wiki/Tag:route%3Dsubway [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.fr Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright

This road network dataset was created from data extracted from OpenStreetMap (OSM) across the geographic area of Australia on 05 August 2020. Its purpose is to represent motor-vehicle traversable public roads within Australia. Note, however, as the original dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. This road network has been topologically corrected for the purposes of network analysis for motor vehicles. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki. Please note: The original data for this dataset has been downloaded from Geofabrik on 05 August 2020. AURIN has filtered the original data and omitted features to present the topologically correct, motor-vehicle traversable road network.

This dataset contains a topologically connected representation of the European high-voltage grid (220 kV to 750 kV) constructed using OpenStreetMap data. Input data was retrieved using the Overpass turbo API (https://overpass-turbo.eu). A heurisitic cleaning process was used to for lines and links where electrical parameters are incomplete, missing, or ambiguous. Close substations within a radius of 500 m are aggregated to single buses, Exact locations of underlying substations is preserved. Unique identifiers for lines and links are preserved, e.g. an AC line/cable with the ID way/83742802-1 can be viewed on OpenStreetMap using the query https://www.openstreetmap.org/way/83742802. A DC line/cable with the ID relation/15781671 can be accessed using the query https://www.openstreetmap.org/relation/15781671

A detailed explanation on the background, methodology, and validation of this dataset can be found in this paper preprint currently under peer-review: https://doi.org/10.48550/arXiv.2408.17178

Countries included in the dataset:

Albania (AL), Austria (AT), Belgium (BE), Bosnia and Herzegovina (BA), Bulgaria (BG), Croatia (HR), Czech Republic (CZ), Denmark (DK), Estonia (EE), Finland (FI), France (FR), Germany (DE), Greece (GR), Hungary (HU), Ireland (IE), Italy (IT), Kosovo (XK), Latvia (LV), Lithuania (LT), Luxembourg (LU), Moldova (MD), Montenegro (ME), Netherlands (NL), North Macedonia (MK), Norway (NO), Poland (PL), Portugal (PT), Romania (RO), Serbia (RS), Slovakia (SK), Slovenia (SI), Spain (ES), Sweden (SE), Switzerland (CH), Ukraine (UA), United Kingdom (GB)

The dataset was constructed as part of the workflow within the open-source, sector-coupling model PyPSA-Eur and will be updated continuously as data and/or the cleaning process improves.

PyPSA-Eur is an open model dataset of the European power system at the transmission network level that covers the full ENTSO-E area. It can be built using the code provided at https://github.com/PyPSA/PyPSA-eur.

Not all data dependencies are shipped with the code repository, since git is not suited for handling large changing files. Instead we provide separate data bundles to be downloaded and extracted as noted in the documentation.

While the code and provided dataset in PyPSA-Eur is released as free software under the MIT, different licenses and terms of use apply to the underlying input data.

Extract from OpenStreetMap Terms of Use

OpenStreetMap^® is open data, licensed under the Open Data Commons Open Database License (ODbL) by the OpenStreetMap Foundation (OSMF).

You are free to copy, distribute, transmit and adapt our data, as long as you credit OpenStreetMap and its contributors. If you alter or build upon our data, you may distribute the result only under the same licence. The full legal code explains your rights and responsibilities.

Our documentation is licensed under the Creative Commons Attribution-ShareAlike 2.0 license (CC BY-SA 2.0).

This processed dataset is provided under the Open Data Commons Open Database License (ODbL 1.0) license.

Changelog from version 0.4 to 0.5:

• Exact locations of original substations and converter stations (interior point/Pole of Inaccessibility) are preserved
• Clustering resolution improved from 5000 to 500 meters
• Lines of same electric parameters are merged, if they cross a virtual bus (that is not a real substation)
• Information from OSM relations are used, wherever applicable. To avoid doubling, members (ways) of the relation are dropped in the set of lines, accordingly
• There are now unique transformers for each voltage level in each station. Transformers now have a nominal capacity, representing the maximum of line capacities connected to either side/bus of the transformer (n-0, nominal capacity)
• Wherever applicable, OSM IDs are preserved and used in the index of the network components.

Daily extract of stores in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1].

The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the carto portal — analysable over the last 30 days via the Change Tracking Portal

Data model The OSM attributes used to filter the data are:

• shop=*

We find in the layer all the objects concerned whether they are mapped in the form of a node, path or relationship in OSM. For polygons and multi-polygons, the geometry provided corresponds to the centroid, the original geometry is available in EWKT format via the attribute ‘osm_original_geom’ and the original type in a column ‘osm_type’.

Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object.

More information about:

• the store-specific data model on the OSM Wiki page — EN:Key:shop [2]
• the general OSM data model is documented on the OSM Wiki page — Map Elements [3].
• the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [4]

[1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] https://wiki.openstreetmap.org/wiki/FR:Key:shop [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.fr

Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright

This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright

Daily extract of the autoroutes (infrastructure) in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1]. The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the portal — analysable over the last 30 days via the Change Tracking Portal Data model The OSM attributes used to filter the data are: highway = motorway highway = motorway_link highway = motorway_junction Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object. More information about: the motorway-specific data model on the OSM Wiki page — WikiProject_France/Autoroutes [2]. the general OSM data model is documented on the OSM Wiki page — Map Elements [3]. the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [4] [1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] https://wiki.openstreetmap.org/wiki/WikiProject_France/Autoroutes [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.fr/search?q=motorway#values Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright

This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :

tags['building'] IS NOT NULL

Features may have these attributes:

• name
• name:en
• building
• building:levels
• building:materials
• addr:full
• addr:housenumber
• addr:street
• addr:city
• office
• source
• name:ur

This dataset is one of many "https://data.humdata.org/organization/hot">OpenStreetMap exports on HDX. See the Humanitarian OpenStreetMap Team website for more information.

Daily extract from the **brigades of gendarmerie and police stations ** in metropolitan France present in the OpenStreetMap (OSM) open and collaborative database [1]. The layer is available in MAGOSM — accessible via public WMS and WFS services — viewable, searchable and downloadable via the carto portal — analysable over the last 30 days via the Change Tracking Portal Data model The OSM attributes used to filter the data are: amenity=police For information we distinguish the different types of objects by the following attribute: police:FR=gendarmerie font:FR=police font:FR=police_municipale A particular effort has been made by the community to inform the following attributes: name=* operator =* Ref:FR:GendarmerieNationale=* official_name=* seasonal=* phone=* fax=* email=* opening_hours=* Wheelchair=* We find in the layer all the objects concerned whether they are mapped in the form of a node, path or relationship in OSM. For polygons and multi-polygons, the geometry provided corresponds to the centroid, the original geometry is available in EWKT format via the attribute ‘osm_original_geom’ and the original type in a column ‘osm_type’. Additional OSM attributes have been selected to enrich the main tags. All attributes prefixed by “osm” (e.g. osm_user, osm_id...) are common properties similar to meta-data on the OSM object. More information about: the data model specific to gendarmerie brigades and police stations on the OSM Wiki page — FR:Tag:amenity=police [2] the #ProjetOSMduMois of November 2018 (theme: National Gendarmerie) on the OSM Wiki page — FR:Project of the month/National Gendarmerie [3]. the general OSM data model is documented on the OSM Wiki page — Map Elements [4]. the modes and frequencies of use and combination of different attributes within the OSM community on the TagInfo France service [5] [1] https://wiki.openstreetmap.org/wiki/FR:Page_principale [2] https://wiki.openstreetmap.org/wiki/FR:Tag:amenity%3Dpolice [3] https://wiki.openstreetmap.org/wiki/FR:Project_of_the_month/Gendarmerie_nationale [4] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [5] https://taginfo.openstreetmap.fr Credits © OpenStreetMap contributors http://www.openstreetmap.org/copyright This data is produced collaboratively under ODbL license which requires identical sharing and attribution mention “© OpenStreetMap contributors under ODbL license” in accordance with http://osm.org/copyright

OpenStreetMap (OSM) provides a free access to the different geographical features mapped by OSM contributors. Recreational services data represent parks and public greenspace.

This data layer is a snapshot extract of OpenStreetMap data, specifically 'ways' with 'building=*' tags from around the San Luis Obispo County area. It was created by digitizing against 2011 aerial imagery (best available resolution - 6 or 12 inch - depending on area) within the JOSM Editor.