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 is a collection of simple maps in PDF format that are designed to be printed off and used in the classroom. The include maps of Great Britain that show the location of major rivers, cities and mountains as well as maps of continents and the World. There is very little information on the maps to allow teachers to download them and add their own content to fit with their lesson plans. Customise one print out then photocopy them for your lesson. data not available yet, holding data set (7th August). Other. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-08-07 and migrated to Edinburgh DataShare on 2017-02-22.

The RPA CROME GOP is a simple point dataset, that marks the location of observations made by surveyors in a sample of parcels and records the land cover according to set criteria. It has been maintained by RPA Geospatial Services since 2015. RPA currently collects ground observation data from the following source: • Agricultural parcels eligible for the Control with Remote Sensing (CwRS) element of the Basic Payment Scheme (BPS), and that fall within zones selected for monitoring claims. The locations and size of these zones vary from year to year. The field surveys for are carried out on RPA’s behalf by Cyient Europe Ltd. They have been acquired for both Control with Remote Sensing (CwRS) and for Commons Eligibility Mapping programmes that have been completed during the year. The points are attributed with: • Parcel reference ID (as with RPA Parcel Points) • Crop or land cover observed to be / have been growing at that location • Date of observation • Whether observations were made by RPA or an external surveyor • Any additional comments Two versions will be made available: one with photos of the land cover attached (RPA_CROME_GOP_2023_FULL) and the other with them removed (RPA_CROME_GOP_2023_Basic).
The data for the CwRS programme is used in the production of the Crop Map of England (CROME) which is publicly available and has historically been used as part of CwRS for the Basic Payment Scheme (BPS). It is intended that releasing the ground observations would benefit research in automation, machine learning, and our national food production. RPA’s GOP use the Open Government Licence v3.0 as used by other publicly accessible data on the Defra Data Services Platform and would be updated approximately every year, subject to the continuation of current policies.

The data shows the location of seabed and sub-seabed samples collected from the UK continental shelf, held by BGS. A BGS Sample Station is a general location at which sampling with one or more equipment types, such as borehole, grab, dredge, has been used. Historically, all deployment of equipment was recorded with the same coordinates so the data shown here will often show several sets of data at the same location. Newer data will begin to show distinct locations based on an equipment type. This layer shows all the BGS Sample Station Locations, including those where the Sampling was unsuccessful. The layers below are divided into distinct equipment types, plus a separate layer for unsuccessful sampling. BGS Sample Station Locations can have a wide range of potential information available. This can vary from a basic description derived from a simple piece of paper up to a complex set of information with a number of datasets. These datasets can include particle size analysis, geotechnical parameters, detailed marine geology, geochemical analysis and others. Prices are available on further enquiry.

This SRTM Slope Map was created from level 1 SRTM NASA data which was cleaned and had holes patched. The slope map was created in ArcMap (presumably using the simple 3x3 nearest neighbour method). The data does not include the Shetland Islands as SRTM data becomes unreliable at 60N. The cell size is close to 90m. Data was acquired between the 11th - 20th Feb 2000. SRTM Slope Map was created from level 1 SRTM NASA data, slope map generated in ArcGIS using a basic nearest neighbour approach. Digital Terrain Model. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2010-06-30 and migrated to Edinburgh DataShare on 2017-02-20.

Soilscapes is a 1:250,000 scale, simplified soils dataset covering England and Wales. It was created from the far more detailed National Soil Map (NATMAP Vector) held by Cranfield University, with the purpose of communicating effectively a general understanding of the variations which occur between soil types, and how soils affect the environment and landscape of the two countries. Soil exerts a strong influence on our whole ecosystem, being the foundation for many of the ecosystem services and functions recognised, and is a fragile resource that needs to be understood and protected.Soilscapes is one of our most popular datasets - and to encourage a wider understanding of soils, web access to this data is now made freely accessible. Soilscapes does away with confusing terminology, enabling informed decision-making by non-soil scientists who need to understand soil and how it affects broad landscapes. Using the Soilscapes web mapping service, it is simple to build up a good understand of many fundamental soil-landscape processes for any region across England and Wales.For more information about soils and soils data please visit the LandIS - Land Information System www.landis.org.uk

The non-gas map is a detailed map of Great Britain showing the distribution of properties without a gas grid connection across local authorities, LSOAs (lower-level super output areas) and, for registered users, postcodes. It also provided a wealth of ...

This dataset is not suitable for identifying whether an individual property will flood. This bundle includes the Basic subset of layers from our Risk of Flooding from Surface Water (RoFSW) mapping, previously known as the updated Flood Map for Surface Water (uFMfSW). It is a group of datasets previously available as the uFMfSW Complex Package. The Basic subset includes the following layers: Risk of Flooding from Surface Water Extent: 0.1 percent annual chance Risk of Flooding from Surface Water Extent: 1 percent annual chance Risk of Flooding from Surface Water Extent: 3.3 percent annual chance Risk of Flooding from Surface Water Input Model DetailsRisk of Flooding from Surface Water Suitability

InformationWarnings: Risk of Flooding from Surface Water is not to be used at property level. If the Content is displayed in map form to others we recommend it should not be used with basemapping more detailed than 1:10,000 as the data is open to misinterpretation if used as a more detailed scale. Because of the way they have been produced and the fact that they are indicative, the maps are not appropriate to act as the sole evidence for any specific planning or regulatory decision or assessment of risk in relation to flooding at any scale without further supporting studies or evidence. Some features of this information are based on digital spatial data licensed from the Centre for Ecology & Hydrology © NERC (CEH). Defra, Met Office and DARD Rivers Agency © Crown copyright. © Cranfield University. © James Hutton Institute. Contains OS data © Crown copyright and database right 2015. Land & Property Services © Crown copyright and database right.This partner version can be downloaded from environment.data.gov.uk.

Ramsar sites are wetlands of international importance designated under the Ramsar Convention. This spreadsheet contains all of the information within Ramsar Information Sheets for all designated Ramsar sites within the UK and its Overseas Territories and Crown Dependencies. The information in the spreadsheet is in a structured format to facilitate data analysis The spreadsheet contains the following tabs: SiteData – summary information about the Ramsar sites themselves. Including a brief description, size, location, date of designation, reasons for designation, information on flora and fauna and a site-relevant bibliography. Most of the data are sourced from the Ramsar Information Sheet. The SiteData list includes all designated Ramsar sites in the UK and its Overseas Territories and Crown Dependencies. BirdData – shows the occurrence of each bird species on each site within the UK. The list of species for each site includes only those species listed on the Ramsar Information Sheet. Bird species occurring on Ramsar sites in UK Overseas Territories and Crown Dependencies can be found in the SiteData tab. Note that some Ramsar sites do not support significant bird interest. Ramsar maps – offer a simple mapping facility. If a particular feature or site is selected in the above worksheets using the Autofilter function, a dot map will be displayed showing the location of the site(s). Criteria – a list of criteria for which each site was designated. See Annex II of the Ramsar Secretariat's Explanatory Notes and Guidelines for the Criteria and guidelines for their application. Physical data – summary information on landscape, geomorphology, geology and soils. It is intended to give a general impression of the physical character of the Ramsar site and is not a detailed description. Note that some characteristics listed may form only a minor component of the site. This information is sourced from the Ramsar Information Sheet. Habitat cover – indicates the percentage cover of certain broad habitat types within each Ramsar site. These are intended to give a general impression of the character of the site. The habitat types are defined by the Ramsar Information Sheet. Wet types – broad information on the type of wetland within each Ramsar site such as inland wetland, marine/coastal wetland and man-made (artificial) wetland. It is intended to give a general impression of the physical character of the Ramsar site and is not a detailed description. Note that more than one wetland type may occur in a single site. This information is sourced from the Ramsar Information Sheet. Adverse factors – summary information on significant natural or human-caused factors which have adversely affected Ramsar sites and any measures being taken to address these issues as reported to the Ramsar Secretariat. This information is sourced from the latest Ramsar UK National Report. Note that some minor factors may not be listed. The worksheet also includes Adverse factors reported previously but which are not considered to be operating at present or which have been addressed effectively. This information is mainly sourced from the previous Ramsar UK National Report to the 9th Conference of Parties. Human factors – summary information on factors such as land tenure/ownership, Current land use & human activities, social & cultural values and conservation measures taken on or adjacent to each Ramsar site. This information is sourced from the Ramsar Information Sheet. Note that some minor factors may not be listed.

Habitat and land cover map created using AI to classify satellite data to EUNIS by Space Intelligence in partnership with NatureScot. This dataset contains three layers: - A EUNIS level 1 classification of Scotland's land cover for the year 2022 which uses 5 different classes; - A EUNIS level 2 classification of Scotland's land cover for the year 2022 which uses 28 different classes; - A change map, which provides predicted land cover changes that occurred between 2020 and 2022. The map is produced through a simple comparison between the 2020 and 2022 maps, where each instance of change identified is interpreted and assigned one of the following descriptors: (i) Afforestation (ii) Tree removal (iii) Agriculture related (iv) Urban development (v) Forest growth (vi) Water gain (vii) Water loss (viii) Other changes Please note, we believe these predicted changes, and others, are inaccurate, mainly due to inaccuracies we have identified in the 2020 map, along with improved methodologies and processes developed at Space Intelligence since the creation of the 2020 map.

The dataset is part of a time series of 20m resolution raster layers, the others being from 2019 and 2020 and the change layer of predicted land cover changes that occurred between 2019 and 2020.

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BGS soil property data layers including parent material, soil texture, group, grain size, thickness and European Soil Bureau description at 1km resolution. A 1:50,000 scale version of this data is available for a licence fee. A parent material is a soil-science name for a weathered rock or deposit from, and within which a soil has formed. In the UK, parent materials provide the basic foundations and building blocks of the soil, influencing their texture, structure, drainage and chemistry. Soils are the result of weathering processes that occur on the Earth’s surface where the atmosphere meets the geosphere and hydrosphere. We live in this ‘critical zone’ relying on our soils to grow our food and sustain the biodiversity and health of our environment.The Soil Parent Material Model details the distribution of physiochemical properties of the weathered and unweathered parent materials of the UK to:facilitate spatial mapping of UK soil propertiesidentify soils and landscapes sensitive to erosionprovide a national overview of our soil resourcedevelop a better understanding of weathering properties and processesFind out more at www.bgs.ac.uk. Contact BGS at bgsdata@bgs.ac.uk if you create something new and innovative that could benefit others.