OSM is a free, editable map of the world, created and maintained by volunteers. Regular OSM data archives are made available in Amazon S3 in both standard formats (OSM PBF, XML) and cloud-native formats optimized for analytics workloads.

OpenStreetMap Dataset

This is a parsed and enriched dataset of all OpenStreetMap changesets, changeset comments, notes, and note comments. The dataset includes 4 different datasets:

changeset_data - All OpenStreetMap changesets with enriched metadata (partitioned by year and month) changeset_comments_data - Comments on changesets from changeset discussions notes_data - Notes on the map with their locations and status notes_comments_data - Comments and actions on notes

This dataset… See the full description on the dataset page: https://huggingface.co/datasets/piebro/osm-data.

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

This web map features a vector basemap of OpenStreetMap (OSM) data created and hosted by Esri. Esri produced this vector tile basemap in ArcGIS Pro from a live replica of OSM data, hosted by Esri, and rendered using a creative cartographic style emulating a blueprint technical drawing. The vector tiles are updated every few weeks with the latest OSM data. This vector basemap is freely available for any user or developer to build into their web map or web mapping apps.OpenStreetMap (OSM) 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 and is excited to make this new vector basemap available available to the OSM, GIS, and Developer communities.

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.

This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. Esri created this vector tile basemap from the Daylight map distribution of OSM data, which is supported by Facebook and supplemented with additional data from Microsoft. This version of the map is rendered using OSM cartography. The OSM Daylight map will be updated every month with the latest version of OSM Daylight data.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 and is excited to make this enhanced vector basemap available to the ArcGIS user and developer communities.

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

OpenStreetMap Changeset Dataset

This dataset is out of date and will not be updated. The new version can be found here: https://huggingface.co/datasets/piebro/osm-data This is parsed and enriched dataset of all OpenStreetMap changesets. The dataset can for example be used to determine the number of Contributors and Edits per Month or the number of Contributors per Edit Software and many more similar statistics. There is a website with these and many more statistics about… See the full description on the dataset page: https://huggingface.co/datasets/piebro/osm-changeset-data.

This feature layer provides access to OpenStreetMap (OSM) buildings data for North America, which is updated every 1 minute with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (closed way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes building features defined as a query against the hosted feature layer (i.e. building is not blank).In OSM, a building is a man-made structure with a roof, standing more or less permanently in one place. These features are identified with a building tag. There are thousands of different tag values for building used in the OSM database. In this feature layer, unique symbols are used for several of the most popular building types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:10k scale) to see the building features display. You can click on a feature to get the name of the building (if available). The name of the building will display by default at large scales (e.g. Buildings level of 1:2.5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this buildings layer displaying just one or two building types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. building is apartments), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. parks) that are ready to use, but not for every type of building.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

This feature layer provides access to OpenStreetMap (OSM) buildings data for Africa, which is updated every 1 minute with the latest edits. This hosted feature layer view is referencing a hosted feature layer of OSM polygon (closed way) data in ArcGIS Online that is updated with minutely diffs from the OSM planet file. This feature layer view includes building features defined as a query against the hosted feature layer (i.e. building is not blank).In OSM, a building is a man-made structure with a roof, standing more or less permanently in one place. These features are identified with a building tag. There are thousands of different tag values for building used in the OSM database. In this feature layer, unique symbols are used for several of the most popular building types, while lesser used types are grouped in an "other" category.Zoom in to large scales (e.g. Streets level or 1:10k scale) to see the building features display. You can click on a feature to get the name of the building (if available). The name of the building will display by default at large scales (e.g. Street level of 1:5k scale). Labels can be turned off in your map if you prefer.Create New LayerIf you would like to create a more focused version of this buildings layer displaying just one or two building types, you can do that easily! Just add the layer to a map, copy the layer in the content window, add a filter to the new layer (e.g. building is apartments), rename the layer as appropriate, and save layer. You can also change the layer symbols or popup if you like. Esri may publish a few such layers (e.g. parks) that are ready to use, but not for every type of building.Important Note: if you do create a new layer, it should be provided under the same Terms of Use and include the same Credits as this layer. You can copy and paste the Terms of Use and Credits info below in the new Item page as needed.

http://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 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.

Adapted from Wikipedia: OpenStreetMap (OSM) is a collaborative project to create a free editable map of the world. Created in 2004, it was inspired by the success of Wikipedia and more than two million registered users who can add data by manual survey, GPS devices, aerial photography, and other free sources. We've made available a number of tables (explained in detail below): history_* tables: full history of OSM objects planet_* tables: snapshot of current OSM objects as of Nov 2019 The history_* and planet_* table groups are composed of node, way, relation, and changeset tables. These contain the primary OSM data types and an additional changeset corresponding to OSM edits for convenient access. These objects are encoded using the BigQuery GEOGRAPHY data type so that they can be operated upon with the built-in geography functions to perform geometry and feature selection, additional processing. Example analyses are given below. This dataset is part of a larger effort to make data available in BigQuery through the Google Cloud Public Datasets program . OSM itself is produced as a public good by volunteers, and there are no guarantees about data quality. Interested in learning more about how these data were brought into BigQuery and how you can use them? Check out the sample queries below to get started. This public dataset is hosted in Google BigQuery and is included in BigQuery's 1TB/mo of free tier processing. This means that each user receives 1TB of free BigQuery processing every month, which can be used to run queries on this public dataset. Watch this short video to learn how to get started quickly using BigQuery to access public datasets. What is BigQuery .

This dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 02 December 2021. Its purpose is to display Roads and Paths as lines within Australia. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. 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 02 December 2021. Due to changes in tagging, previous versions of OSM may not be comparable with this release.

Public urban green spaces are important for the urban quality of life. Still, comprehensive open data sets on urban green spaces are not available for most cities. As open and globally available data sets the potential of Sentinel-2 satellite imagery and OpenStreetMap (OSM) data for urban green space mapping is high but limited due to their respective uncertainties. Sentinel-2 imagery cannot distinguish public from private green spaces and its spatial resolution of 10 meters fails to capture fine-grained urban structures, while in OSM green spaces are not mapped consistently and with the same level of completeness everywhere. To address these limitations we propose to fuse these data sets under explicit consideration of their uncertainties. The Sentinel-2 derived Normalized Difference Vegetation Index was fused with OSM data using the Dempster-Shafer theory to enhance the detection of small vegetated areas. The distinction between public and private green spaces was achieved using a Bayesian hierarchical model and OSM data. The analysis was performed based on land use parcels derived from OSM data and tested for the city of Dresden, Germany. The overall accuracy of the final map of public urban green spaces was 95\%, which was mainly influenced by the uncertainty of the public accessibility model.

This point of interests dataset was extracted from OpenStreetMap (OSM) across the geographic area of Australia on 05 August 2020. Its purpose is to display points within Australia which people may find of interest, this is not limited to major landmarks and include simple amenities. Note, however, as this dataset is built by a community of mappers, there is no guarantee of its spatial or attribute accuracy. Use at your own risk. For more information about the map features represented in this dataset (including their attributes), refer to the OpenStreetMap Wiki and the Points of Interest. Please note: The original data for this dataset has been downloaded from Geofabrik on 05 August 2020.

Daily extract of Copper Subdistributors (SR) 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: * Telecom =connection_point * telecom:medium=copper 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 ‘connection points’ on the Wiki page OSM — FR:Tag:telecom=connection_point [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:telecom=connection_point [3] https://wiki.openstreetmap.org/wiki/FR:%C3%89l%C3%A9ments_cartographiques [4] https://taginfo.openstreetmap.org/tags/?key=telecom&value=connection_point#overview 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

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. 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 the bus 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 = bus

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 bus route-specific data model on the OSM Wiki page — Tag:route=bus [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/Tag:route%3Dbus [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

Mature Support Notice: This item is in mature support as of December 2024. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version. See blog for more information.This web map presents a vector basemap of OpenStreetMap (OSM) data hosted by Esri. This version of the map is rendered in a style similar to the Night version of the Esri Street map. Created from the sunsetted Daylight map distribution, data updates supporting this layer are no longer available.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. Precise Tile Registration: The web map uses the improved tiling scheme “WGS84 Geographic, Version 2” to ensure proper tile positioning at higher resolutions (neighborhood level and beyond). The new tiling scheme is much more precise than tiling schemes of the legacy basemaps Esri released years ago. We recommend that you start using this new basemap for any new web maps in WGS84 that you plan to author. Due to the number of differences between the old and new tiling schemes, some web clients will not be able to overlay tile layers in the old and new tiling schemes in one web map.