100+ datasets found
  1. OpenStreetMap

    • data.europa.eu
    • data.ubdc.ac.uk
    • +1more
    esri shape, html
    Updated Feb 28, 2025
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    Open Street Map (2025). OpenStreetMap [Dataset]. https://data.europa.eu/data/datasets/openstreetmap-1/embed
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    html, esri shapeAvailable download formats
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    OpenStreetMap//www.openstreetmap.org/
    Authors
    Open Street Map
    Description

    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:

    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.

    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.

  2. RPA Crop Map of England (CROME) Ground Observation Points (GOP) - Basic

    • environment.data.gov.uk
    Updated Nov 8, 2023
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    Rural Payments Agency (2023). RPA Crop Map of England (CROME) Ground Observation Points (GOP) - Basic [Dataset]. https://environment.data.gov.uk/dataset/68db4948-cc60-4e4e-807c-c8aa48239cb5
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    Dataset updated
    Nov 8, 2023
    Dataset authored and provided by
    Rural Payments Agencyhttps://gov.uk/rpa
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    England
    Description

    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.

  3. U

    Defra Pollutant Base Maps - PM10

    • data.ubdc.ac.uk
    csv
    Updated Nov 8, 2023
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    Glasgow City Council (2023). Defra Pollutant Base Maps - PM10 [Dataset]. https://data.ubdc.ac.uk/dataset/defra-pollutant-base-maps-pm10
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    csv(39442), csv(39256), csv(39305), csv(39464), csv(39371), csv(39455), csv(39436), csv(39292), csv(39472), csv(39424), csv(39306), csv(39441), csv(39413), csv(39434), csv(39466), csv(39396), csv(39433), csv(39406), csv(39268)Available download formats
    Dataset updated
    Nov 8, 2023
    Dataset provided by
    Glasgow City Council
    Description

    Background maps for the pollutant PM10 for the year 2030. Geography used in the background maps is based on a 1x1km grid file of Glasgow. Coordinates given are for the centre of centre of each 1x1Km grid. Further information regarding pollutant and emissions modelling can be found at http://laqm.defra.gov.uk/review-and-assessment/tools/background-maps.html accessed on 2014-04-25T14:26:00.

  4. E

    Simple maps for Schools

    • find.data.gov.scot
    • dtechtive.com
    xml, zip
    Updated Feb 22, 2017
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    Simple maps for Schools [Dataset]. https://find.data.gov.scot/datasets/34332
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    xml(0.0039 MB), zip(5.35 MB)Available download formats
    Dataset updated
    Feb 22, 2017
    Dataset provided by
    University of Edinburgh
    License

    ODC Public Domain Dedication and Licence (PDDL) v1.0http://www.opendatacommons.org/licenses/pddl/1.0/
    License information was derived automatically

    Description

    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.

  5. c

    Data from: Historic Parishes of England and Wales : an Electronic Map of...

    • datacatalogue.cessda.eu
    Updated Nov 28, 2024
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    Kain, R. J. P., University of Exeter; Oliver, R. R., University of Exeter (2024). Historic Parishes of England and Wales : an Electronic Map of Boundaries before 1850 with a Gazetteer and Metadata [Dataset]. http://doi.org/10.5255/UKDA-SN-4348-1
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    Dataset updated
    Nov 28, 2024
    Dataset provided by
    Department of Geography
    Authors
    Kain, R. J. P., University of Exeter; Oliver, R. R., University of Exeter
    Time period covered
    Jan 1, 1998 - Jan 1, 2001
    Area covered
    England, Wales
    Variables measured
    Administrative units (geographical/political), National, Parishes
    Measurement technique
    Compilation or synthesis of existing material
    Description

    Abstract copyright UK Data Service and data collection copyright owner.


    This research project aimed to fill a major lacuna militating against the effective exploitation of many post-medieval to mid-Victorian historical sources collected by local administrative areas: the lack of information on the boundaries of those administrative areas, the so-called 'historic' or 'ancient' parishes of England and Wales. It is known that these districts came into being during the Middle Ages, that the map of these ecclesiastical parishes was essentially complete by the fifteenth century, that these ecclesiastical boundaries were adopted during the early modern period for secular and judicial purposes, and that boundaries remained essentially unchanged until a number of reforms from the mid-nineteenth century onwards reorganised the local administrative geography of the country. The project aimed to reconstruct those boundaries as they were before the post-nineteenth century changes.
    Main Topics:

    The digitised maps cover the whole of England and Wales, and are organised by Ordnance Survey Sheet number. The maps contain a scanned bitmap image of the Ordnance Survey one inch to one mile (1:63,360) New Popular Edition maps (1945-8) with National Grid. They contain the boundaries of some 18,233 places, and are arranged as three electronic 'layers'. The first is a scan of the Ordnance Survey maps stored as grey tone sheet images. This enables Ordnance Survey physical, cultural and place-name content to be readily visible in the background for orientation and general location purposes, while not obscuring the added boundary and reference number material. The second layer consists of the boundaries, stored as solid red lines; and the third layer contains the reference numbers that link places on the map to the gazetteer/metadata dataset that accompanies the maps.

    The maps are available on CD-ROM in Adobe Illustrator (ISBN:0-9540032-2-5) or Adobe Acrobat (ISBN:0-9540032-1-7) PDF formats. We recommend using the Adobe Illustrator format if you already have the software (as it enables you to edit the maps and select the layers to view). However, the Adobe Acrobat PDF format is perfectly suitable for viewing the maps, and we will supply the necessary reader software.

    An accompanying book Historic Parishes of England and Wales: An Electronic Map of Boundaries before 1850 with a Gazetteer and Metadata by Roger Kain and Richard Oliver (ISBN:0-9540032-0-9) provides an introduction to the provenance of the maps. It also includes an abbreviated version of the gazetteer/metadata dataset, and a discussion of historical boundaries.

    This unique combination publication is set to become a standard reference resource and is an invaluable tool for all those interested in plotting local area-based data from the past (population, agricultural, statistics, tax data etc.) from the fourteenth to the nineteenth centuries.

    Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.


  6. d

    Crop Map of England (CROME) 2019

    • environment.data.gov.uk
    • gimi9.com
    • +1more
    Updated Nov 19, 2019
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    Rural Payments Agency (2019). Crop Map of England (CROME) 2019 [Dataset]. https://environment.data.gov.uk/dataset/b498a2be-f3de-49fb-91a4-3381bb3868c2
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    Dataset updated
    Nov 19, 2019
    Dataset authored and provided by
    Rural Payments Agency
    Area covered
    England
    Description

    The Crop Map of England (CROME) is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 Radar and Sentinel-2 Optical Satellite images during the period late January 2019 – September 2019. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. The data has been split into the Ordnance Survey Ceremonial Counties and each county is given a three letter code. Please refer to the CROME specification document to see which county each CODE label represents.

  7. Statutory Main River Map Variations

    • environment.data.gov.uk
    • data.europa.eu
    Updated Aug 3, 2022
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    Environment Agency (2022). Statutory Main River Map Variations [Dataset]. https://environment.data.gov.uk/dataset/aa56733a-1181-420e-92f3-4515fccf594d
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    Dataset updated
    Aug 3, 2022
    Dataset authored and provided by
    Environment Agencyhttps://www.gov.uk/ea
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The Statutory Main River Map Variations dataset defines proposed changes to the Statutory Main River Map.

    Statutory Main Rivers Map defines statutory watercourses in England designated as Main Rivers by Environment Agency.

    Watercourses designated as ‘main river’ are generally the larger arterial watercourses. The Environment Agency has permissive powers, but not a duty, to carry out maintenance, improvement or construction work on designated main rivers.

    All other open water courses in England are determined by statute as an ‘ordinary watercourse’. On these watercourses the Lead Local flood Authority or, if within an Internal Drainage District, the Internal Drainage Board have similar permissive powers to maintain and improve.

    The Environment Agency notifies the public and interested parties of our intentions to make a change to the statutory main river map and decides which watercourses are designated as Main Rivers following a legal process to determine and publish changes.

    The change, or variation, to the Statutory Main River Map is either a deletion (also known as a demainment) or an addition (also known as an enmainment).

    There are two reasons for a change to the Statutory Main River Map - Designation and Factual.

    Designation changes are required when we make a decision to lengthen or shorten the section of a river designated as a 'main river'. These changes will determine which risk management authority may carry out maintenance, improvement or construction work on the watercourse. These changes result also in differing legislation applying to the riparian owner and others with an interest.

    Factual changes may be required to update the map to represent the real position of the watercourse. They do not involve any changes of authority or management. Typical examples of factual changes are when: a watercourse has changed course naturally, a watercourse has been diverted or a survey of a culvert shows a different alignment.

    A change to the Statutory Main River Map goes through the following stages (identified as Status within the data):

    • Draft
    • Consultation
    • Pending Determination
    • Determination
    • Appeals
    • Pending Appeals
    • Pending Implementation
    • Implemented (Month and Year)
  8. National Geographic Map

    • hub.arcgis.com
    Updated Feb 10, 2012
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    Esri (2012). National Geographic Map [Dataset]. https://hub.arcgis.com/maps/d94dcdbe78e141c2b2d3a91d5ca8b9c9
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    Dataset updated
    Feb 10, 2012
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    Important Note: This item is in mature support as of July 2021. A new version of this item is available for your use. Esri recommends updating your maps and apps to use the new version.This map is designed to be used as a general reference map for informational and educational purposes as well as a basemap by GIS professionals and other users for creating web maps and web mapping applications.The map was developed by National Geographic and Esri and reflects the distinctive National Geographic cartographic style in a multi-scale reference map of the world. The map was authored using data from a variety of leading data providers, including Garmin, HERE, UNEP-WCMC, NASA, ESA, USGS, and others.This reference map includes administrative boundaries, cities, protected areas, highways, roads, railways, water features, buildings and landmarks, overlaid on shaded relief and land cover imagery for added context. The map includes global coverage down to ~1:144k scale and more detailed coverage for North America down to ~1:9k scale.Map Note: Although small-scale boundaries, place names and map notes were provided and edited by National Geographic, boundaries and names shown do not necessarily reflect the map policy of the National Geographic Society, particularly at larger scales where content has not been thoroughly reviewed or edited by National Geographic.Data Notes: The credits below include a list of data providers used to develop the map. Below are a few additional notes:Reference Data: National Geographic, Esri, Garmin, HERE, iPC, NRCAN, METILand Cover Imagery: NASA Blue Marble, ESA GlobCover 2009 (Copyright notice: © ESA 2010 and UCLouvain)Protected Areas: IUCN and UNEP-WCMC (2011), The World Database on Protected Areas (WDPA) Annual Release. Cambridge, UK: UNEP-WCMC. Available at:www.protectedplanet.net.Ocean Data: GEBCO, NOAA

  9. E

    Land Cover Map 2019 (land parcels, N. Ireland)

    • catalogue.ceh.ac.uk
    • data-search.nerc.ac.uk
    Updated Jun 23, 2020
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    R.D. Morton; C.G. Marston; A.W. O'Neil; C.S. Rowland (2020). Land Cover Map 2019 (land parcels, N. Ireland) [Dataset]. http://doi.org/10.5285/6e67cba0-c872-4146-bc09-d6c98731f3b3
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    Dataset updated
    Jun 23, 2020
    Dataset provided by
    NERC EDS Environmental Information Data Centre
    Authors
    R.D. Morton; C.G. Marston; A.W. O'Neil; C.S. Rowland
    Time period covered
    Jan 1, 2019 - Dec 31, 2019
    Area covered
    Dataset funded by
    Natural Environment Research Councilhttps://www.ukri.org/councils/nerc
    Description

    This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2019 (LCM2019) representing Northern Ireland. It describes Northern Ireland's land cover in 2019 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2019 20m classified pixels dataset. All further LCM2019 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 assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2019 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2019. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2019. LCM2019 was simultaneously released with LCM2017 and LCM2018. 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.

  10. g

    Crop Map of England (CROME) 2017 - North

    • gimi9.com
    • environment.data.gov.uk
    • +2more
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    Crop Map of England (CROME) 2017 - North [Dataset]. https://gimi9.com/dataset/uk_crop-map-of-england-crome-2017-north
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    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    England
    Description

    The Crop Map of England (CROME) is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 50 main crop types, grassland, and non-agricultural land covers, such as Trees, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 and Sentinel-2 images during the period late January 2017 – August 2017. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. Refer to the CROME specification document. Attribution statement: © Rural Payments Agency

  11. a

    Summarised Botanical Value Map 2022 (England)

    • hub.arcgis.com
    • data.catchmentbasedapproach.org
    • +1more
    Updated Jun 19, 2023
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    Defra group ArcGIS Online organisation (2023). Summarised Botanical Value Map 2022 (England) [Dataset]. https://hub.arcgis.com/maps/Defra::summarised-botanical-value-map-2022-england
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    Dataset updated
    Jun 19, 2023
    Dataset authored and provided by
    Defra group ArcGIS Online organisation
    Area covered
    Description

    Under the Natural Capital and Ecosystem Assessment (NCEA) Pilot, Natural England and the Botanical Society of Britain and Ireland (BSBI) have been working in partnership to use BSBI's vast database of plant records to inform the evidence base for tree-planting activities. Poorly targeted tree planting risks damaging wildlife and carbon-rich habitats, therefore using these data we aim to ensure that areas of high conservation value are preserved in the landscape. The summarised botanical value map provides an easily interpretable output which categorises monads (1 x 1 km grid squares) as being of Low, Moderate or High botanical value according to the presence of Rare, Scarce and Threatened (RST) plant species and/or the proportion of Priority Habitat Positive Indicator (PHPI) species that were recorded within the 1 x 1 km grid square between 1970 and 2022. The PHPI species are a combination of BSBI axiophytes, positive indicators for common standards monitoring and ancient woodland indicators. The dataset includes an overall botanical value, as well as values based on only the presence of RST plant species, and a value for each broad habitat type based on the PHPI species records. By viewing the different attributes, you can gain insights into how valuable a monad is for different habitat types and for plant species of conservation concern, as well as an indication of how well a particular monad has been surveyed. The categories of 'No indicators, poor survey coverage' and 'No indicators, good survey coverage' indicate where no indicator species have been recorded and survey coverage either is above or below a threshold of 3 'recorder days'. A 'recorder day' is defined as being when 40 or more species have been recorded on a single visit and 3 recorder days is assumed sufficient to achieve good survey coverage within a 1 x 1 km grid square. This map is not intended to be used to carry out detailed assessments of individual site suitability for tree planting, for which the RST plant species heatmap at 100 x 100 m resolution and the PHPI heatmaps at 1 x 1 km resolution have been developed by BSBI and Natural England. However, the summarised botanical value map can provide useful insights at a strategic landscape scale, to highlight monads of high value for vascular plants and inform spatial planning and prioritisation, and other land management decision-making. These should be used alongside other environmental datasets and local knowledge to ensure decisions are supported by the appropriate evidence. Please get in contact if you have any queries about the data or appropriate uses at botanicalheatmaps@naturalengland.org.uk.Datasets used:BSBI botanical heatmap data - BSBIOS Grids - OSONS Country boundaries - ONSCommon Standards Monitoring guidance - JNCC 2004BSBI's Axiophyte list - Walker 2018Ancient Woodland Indicators - Glaves et al. 2009Plantatt - Hill et al. 2004Further information can be found in the technical report at:Botanical Heatmaps and the Botanical Value Map: Technical Report (NERR110)Full metadata can be viewed on data.gov.uk.

  12. World Ocean Base

    • amerigeo.org
    • oceangis.esri.de
    • +17more
    Updated Feb 24, 2014
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    Esri (2014). World Ocean Base [Dataset]. https://www.amerigeo.org/datasets/esri::world-ocean-base
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    Dataset updated
    Feb 24, 2014
    Dataset authored and provided by
    Esrihttp://esri.com/
    Area covered
    Description

    The map is designed to be used as a basemap by marine GIS professionals and as a reference map by anyone interested in ocean data. The basemap focuses on bathymetry. It also includes inland waters and roads, overlaid on land cover and shaded relief imagery.The Ocean Base map currently provides coverage for the world down to a scale of ~1:577k; coverage down to ~1:72k in United States coastal areas and various other areas; and coverage down to ~1:9k in limited regional areas.The World Ocean Reference is designed to be drawn on top of this map and provides selected city labels throughout the world. This web map lets you view the World Ocean Base with the Reference service drawn on top. Article in the Fall 2011 ArcUser about this basemap: "A Foundation for Ocean GIS".The map was compiled from a variety of best available sources from several data providers, including General Bathymetric Chart of the Oceans GEBCO_08 Grid version 20100927 and IHO-IOC GEBCO Gazetteer of Undersea Feature Names August 2010 version (https://www.gebco.net), National Oceanic and Atmospheric Administration (NOAA) and National Geographic for the oceans; and Garmin, and Esri for topographic content. You can contribute your bathymetric data to this service and have it served by Esri for the benefit of the Ocean GIS community. For details on the users who contributed bathymetric data for this map via the Community Maps Program, view the list of Contributors for the Ocean Basemap. The basemap was designed and developed by Esri. The GEBCO_08 Grid is largely based on a database of ship-track soundings with interpolation between soundings guided by satellite-derived gravity data. In some areas, data from existing grids are included. The GEBCO_08 Grid does not contain detailed information in shallower water areas, information concerning the generation of the grid can be found on GEBCO's website: https://www.gebco.net/data_and_products/gridded_bathymetry_data/. The GEBCO_08 Grid is accompanied by a Source Identifier (SID) Grid which indicates which cells in the GEBCO_08 Grid are based on soundings or existing grids and which have been interpolated. The latest version of both grids and accompanying documentation is available to download, on behalf of GEBCO, from the British Oceanographic Data Centre (BODC) https://www.bodc.ac.uk/data/online_delivery/gebco/.The names of the IHO (International Hydrographic Organization), IOC (intergovernmental Oceanographic Commission), GEBCO (General Bathymetric Chart of the Oceans), NERC (Natural Environment Research Council) or BODC (British Oceanographic Data Centre) may not be used in any way to imply, directly or otherwise, endorsement or support of either the Licensee or their mapping system.Tip: Here are some famous oceanic locations as they appear this map. Each URL launches this map at a particular location via parameters specified in the URL: Challenger Deep, Galapagos Islands, Hawaiian Islands, Maldive Islands, Mariana Trench, Tahiti, Queen Charlotte Sound, Notre Dame Bay, Labrador Trough, New York Bight, Massachusetts Bay, Mississippi Sound

  13. Statutory Main River Map

    • environment.data.gov.uk
    Updated Jan 11, 2023
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    Environment Agency (2023). Statutory Main River Map [Dataset]. https://environment.data.gov.uk/dataset/25dde009-ba7d-40de-8380-c5c3bb32ccdc
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    Dataset updated
    Jan 11, 2023
    Dataset authored and provided by
    Environment Agencyhttps://www.gov.uk/ea
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    Statutory Main Rivers Map is a spatial (polyline) dataset that defines statutory watercourses in England designated as Main Rivers by the Environment Agency.

    Watercourses designated as ‘main river’ are generally the larger arterial watercourses. The Environment Agency has permissive powers, but not a duty, to carry out maintenance, improvement or construction work on designated main rivers.

    All other open water courses in England are determined by statute as an ‘ordinary watercourse’. On these watercourses the Lead Local flood Authority or, if within an Internal Drainage District, the Internal Drainage Board have similar permissive powers to maintain and improve.

  14. c

    Living England Habitat Map (Phase 4)

    • data.catchmentbasedapproach.org
    • roadmap-to-climate-resilience-tep-thames.hub.arcgis.com
    • +2more
    Updated Mar 23, 2022
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    Defra group ArcGIS Online organisation (2022). Living England Habitat Map (Phase 4) [Dataset]. https://data.catchmentbasedapproach.org/items/b3069e7cb3084732b92478b3db51b9c6
    Explore at:
    Dataset updated
    Mar 23, 2022
    Dataset authored and provided by
    Defra group ArcGIS Online organisation
    Area covered
    Description

    PLEASE NOTE: This data product is not available in Shapefile format or KML at https://naturalengland-defra.opendata.arcgis.com/datasets/Defra::living-england-habitat-map-phase-4/about, as the data exceeds the limits of these formats. Please select an alternative download format.This data product is also available for download in multiple formats via the Defra Data Services Platform at https://environment.data.gov.uk/explore/4aa716ce-f6af-454c-8ba2-833ebc1bde96?download=true.The Living England project, led by Natural England, is a multi-year programme delivering a satellite-derived national habitat layer in support of the Environmental Land Management (ELM) System and the Natural Capital and Ecosystem Assessment (NCEA) Pilot. The project uses a machine learning approach to image classification, developed under the Defra Living Maps project (SD1705 – Kilcoyne et al., 2017). The method first clusters homogeneous areas of habitat into segments, then assigns each segment to a defined list of habitat classes using Random Forest (a machine learning algorithm). The habitat probability map displays modelled likely broad habitat classifications, trained on field surveys and earth observation data from 2021 as well as historic data layers. This map is an output from Phase IV of the Living England project, with future work in Phase V (2022-23) intending to standardise the methodology and Phase VI (2023-24) to implement the agreed standardised methods.The Living England habitat probability map will provide high-accuracy, spatially consistent data for a range of Defra policy delivery needs (e.g. 25YEP indicators and Environment Bill target reporting Natural capital accounting, Nature Strategy, ELM) as well as external users. As a probability map, it allows the extrapolation of data to areas that we do not have data. These data will also support better local and national decision making, policy development and evaluation, especially in areas where other forms of evidence are unavailable. Process Description: A number of data layers are used to inform the model to provide a habitat probability map of England. The main sources layers are Sentinel-2 and Sentinel-1 satellite data from the ESA Copericus programme. Additional datasets were incorporated into the model (as detailed below) to aid the segmentation and classification of specific habitat classes. Datasets used:Agri-Environment Higher Level Stewardship (HLS) Monitoring, British Geological Survey Bedrock Mapping 1:50k, Coastal Dune Geomatics Mapping Ground Truthing, Crop Map of England (RPA), Dark Peak Bog State Survey, Desktop Validation and Manual Points, EA Integrated Height Model 10m, EA Saltmarsh Zonation and Extent, Field Unit NEFU, Living England Collector App NEFU/EES, Long Term Monitoring Network (LTMN), Lowland Heathland Survey, National Forest Inventory (NFI), National Grassland Survey, National Plant Monitoring Scheme, NEFU Surveys, Northumberland Border Mires, OS Vector Map District , Priority Habitats Inventory (PHI) B Button, European Space Agency (ESA) Sentinel-1 and Sentinel-2 , Space2 Eye Lens: Ainsdale NNR, Space2 Eye Lens: State of the Bog Bowland Survey, Space2 Eye Lens: State of the Bog Dark Peak Condition Survey, Space2 Eye Lens: State of the Bog (MMU) Mountain Hare Habitat Survey Dark Peak, Uplands Inventory, West Pennines Designation NVC Survey, Wetland Inventories, WorldClim - Global Climate DataFull metadata can be viewed on data.gov.uk.

  15. d

    Living England Habitat Map (Phase 4)

    • environment.data.gov.uk
    Updated Mar 31, 2022
    + more versions
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    Natural England (2022). Living England Habitat Map (Phase 4) [Dataset]. https://environment.data.gov.uk/dataset/4aa716ce-f6af-454c-8ba2-833ebc1bde96
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    Dataset updated
    Mar 31, 2022
    Dataset authored and provided by
    Natural Englandhttp://www.gov.uk/natural-england
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Description

    The Living England project, led by Natural England, is a multi-year programme delivering a satellite-derived national habitat layer in support of the Environmental Land Management (ELM) System and the Natural Capital and Ecosystem Assessment (NCEA) Pilot. The project uses a machine learning approach to image classification, developed under the Defra Living Maps project (SD1705 – Kilcoyne et al., 2017). The method first clusters homogeneous areas of habitat into segments, then assigns each segment to a defined list of habitat classes using Random Forest (a machine learning algorithm). The habitat probability map displays modelled likely broad habitat classifications, trained on field surveys and earth observation data from 2021 as well as historic data layers. This map is an output from Phase IV of the Living England project, with future work in Phase V (2022-23) intending to standardise the methodology and Phase VI (2023-24) to implement the agreed standardised methods.

    The Living England habitat probability map will provide high-accuracy, spatially consistent data for a range of Defra policy delivery needs (e.g. 25YEP indicators and Environment Bill target reporting Natural capital accounting, Nature Strategy, ELM) as well as external users. As a probability map, it allows the extrapolation of data to areas that we do not have data. These data will also support better local and national decision making, policy development and evaluation, especially in areas where other forms of evidence are unavailable.

    Process Description: A number of data layers are used to inform the model to provide a habitat probability map of England. The main sources layers are Sentinel-2 and Sentinel-1 satellite data from the ESA Copericus programme. Additional datasets were incorporated into the model (as detailed below) to aid the segmentation and classification of specific habitat classes.

    Datasets used: Agri-Environment Higher Level Stewardship (HLS) Monitoring, British Geological Survey Bedrock Mapping 1:50k, Coastal Dune Geomatics Mapping Ground Truthing, Crop Map of England (RPA), Dark Peak Bog State Survey, Desktop Validation and Manual Points, EA Integrated Height Model 10m, EA Saltmarsh Zonation and Extent, Field Unit NEFU, Living England Collector App NEFU/EES, Long Term Monitoring Network (LTMN), Lowland Heathland Survey, National Forest Inventory (NFI), National Grassland Survey, National Plant Monitoring Scheme, NEFU Surveys, Northumberland Border Mires, OS Vector Map District , Priority Habitats Inventory (PHI) B Button, European Space Agency (ESA) Sentinel-1 and Sentinel-2 , Space2 Eye Lens: Ainsdale NNR, Space2 Eye Lens: State of the Bog Bowland Survey, Space2 Eye Lens: State of the Bog Dark Peak Condition Survey, Space2 Eye Lens: State of the Bog (MMU) Mountain Hare Habitat Survey Dark Peak, Uplands Inventory, West Pennines Designation NVC Survey, Wetland Inventories, WorldClim - Global Climate Data

  16. w

    Crop Map of England (CROME) 2016 - South East

    • data.wu.ac.at
    • gimi9.com
    • +2more
    wms
    Updated Feb 1, 2018
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    Rural Payments Agency (2018). Crop Map of England (CROME) 2016 - South East [Dataset]. https://data.wu.ac.at/schema/data_gov_uk/NGY3NDM0NzUtZmU3NC00NzNiLTlmZjAtMjBlZTZlNWFlNTJi
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    wmsAvailable download formats
    Dataset updated
    Feb 1, 2018
    Dataset provided by
    Rural Payments Agency
    License

    Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
    License information was derived automatically

    Area covered
    9d59d37df6c373850183d64443333de6318f6184
    Description

    The Crop Map of England (CROME) South East is a polygon vector dataset mainly containing the crop types of England. The dataset contains approximately 32 million hexagonal cells classifying England into over 20 main crop types, grassland, and non-agricultural land covers, such as Woodland, Water Bodies, Fallow Land and other non-agricultural land covers. The classification was created automatically using supervised classification (Random Forest Classification) from the combination of Sentinel-1 and Sentinel-2 images during the period late January 2016 – August 2016. The dataset was created to aid the classification of crop types from optical imagery, which can be affected by cloud cover. The results were checked against survey data collected by field inspectors and visually validated. refer to the CROME specification document Attribution statement:

  17. s

    Counties and Unitary Authorities (April 2023) Map in the UK

    • geoportal.statistics.gov.uk
    • hub.arcgis.com
    Updated May 31, 2023
    + more versions
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    Office for National Statistics (2023). Counties and Unitary Authorities (April 2023) Map in the UK [Dataset]. https://geoportal.statistics.gov.uk/documents/1aa806eb35ee4334a87f5970c82e3ac0
    Explore at:
    Dataset updated
    May 31, 2023
    Dataset authored and provided by
    Office for National Statistics
    License

    https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences

    Area covered
    Description

    A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)

  18. Marine Maps and Charts Archive (1960 onwards)

    • data-search.nerc.ac.uk
    • metadata.bgs.ac.uk
    • +1more
    cfc
    Updated Oct 27, 2014
    + more versions
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    British Geological Survey (2014). Marine Maps and Charts Archive (1960 onwards) [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/api/records/c35e3405-9db1-6d8b-e044-0003ba9b0d98
    Explore at:
    cfcAvailable download formats
    Dataset updated
    Oct 27, 2014
    Dataset provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d

    Time period covered
    1960
    Area covered
    Description

    The Marine Maps and Chart Archive held by BGS contains maps created by BGS (the majority of which result from BGS offshore mapping projects) and also maps acquired from various other sources (e.g. UK Hydrographic Office and MCA Civil Hydrography Programme survey charts). The maps which date from the 1960s onwards are very variable in subject type and scale ranging from survey navigation to geological interpretation. The maps are primarily for the UKCS (United Kingdom Continental Shelf). The coverage of some map types is the entire UKCS whilst other have only regional or localised extent. The maps which are a mix of paper and digital are applicable to a wide range of uses including environmental, geotechnical, geophysical and geological studies. range of uses including environmental, geotechnical, geophysical and geological studies. Scanned maps can be viewed via the BGS maps portal http://www.bgs.ac.uk/data/maps.

  19. 1:250K Geological Maps of Northern Ireland version 2

    • data-search.nerc.ac.uk
    • metadata.bgs.ac.uk
    html
    Updated Feb 24, 2021
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    British Geological Survey (2021). 1:250K Geological Maps of Northern Ireland version 2 [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/api/records/9df8df52-d781-37a8-e044-0003ba9b0d98
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Feb 24, 2021
    Dataset authored and provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d

    Time period covered
    1991 - 1997
    Area covered
    Description

    The 1:250k Geological Maps of Northern Ireland comprise the Superficial Deposits Map (Drift, 1991) and the Bedrock Map (Solid Geology, 1997). These maps identify landscape areas based on their lithology. The scale of the maps is 1:250 000 and provides a simplified interpretation of the geology that may be used as a guide at a regional level, but should not be relied on for local geology. Superficial deposits are younger geological deposits formed during the most recent geological time; the Quaternary. These deposits rest on older rocks or deposits referred to as bedrock. The superficial deposits theme defines landscape areas with a geological name and their deposit-type or lithological composition. The Superficial map shows the deposits within the extent of the six Counties of Northern Ireland. The Bedrock map comprises the bedrock geology and contains dykes and geological faults. Bedrock geology describes the main mass of solid rocks forming the earth's crust. Bedrock is present everywhere, whether exposed at surface in outcrops or concealed beneath superficial deposits or water bodies. Geological names are based on the lithostratigraphic or lithodemic hierarchy of the rocks. The lithostratigraphic scheme arranges rock bodies into units based on rock-type and geological time of formation. Where rock-types do not fit into the lithostratigraphic scheme, for example intrusive, deformed rocks subjected to heat and pressure resulting in new or changed rock types; then their classification is based on their rock-type or lithological composition. This assesses visible features such as texture, structure, mineralogy. Dykes defines small, narrow areas of a specific type of bedrock geology; that is igneous rocks which have been intruded into the landscape at a later date than the surrounding bedrock. Geological faults occur where a body of bedrock has been fractured and displaced by large scale processes affecting the earth's crust (tectonic forces). The Bedrock map shows the main bedrock geological divisions in Northern Ireland and coverage extends to the west into the Republic of Ireland. The printed map includes a stratigraphic column. Digital datasets have been derived from the maps and comprise three layers. 1. Superficial polygons, 2. Bedrock polygons and 3. Linear features. Attribute tables describe the polygon features. These data are generalised and superseded by the 1:10k Geological Maps of Northern Ireland.

  20. Falkland Islands Mapping

    • data-search.nerc.ac.uk
    • metadata.bgs.ac.uk
    • +2more
    http
    Updated Dec 8, 2010
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    British Geological Survey (2010). Falkland Islands Mapping [Dataset]. https://data-search.nerc.ac.uk/geonetwork/srv/api/records/001a5de5-357e-1cf6-e054-002128a47908
    Explore at:
    httpAvailable download formats
    Dataset updated
    Dec 8, 2010
    Dataset authored and provided by
    British Geological Surveyhttps://www.bgs.ac.uk/
    License

    http://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1dhttp://inspire.ec.europa.eu/metadata-codelist/LimitationsOnPublicAccess/INSPIRE_Directive_Article13_1d

    Time period covered
    1960 - 2000
    Area covered
    Description

    The dataset comprises maps and aerial photographs of the Falkland Islands. The maps are printers films and final paper printed originals of Falkland Islands OS maps, compiled for the Falkland Islands Government and the Foreign and Commonwealth Office by the Overseas Directorate of the Ordnance Survey. They were discarded by the Ordnance Survey around 2004, and offered to BGS for storage on behalf of the Falkland Islands Government. The Falkland Islands Government retains copyright interest in the maps. There are no access or usage constraints for BGS staff for BGS purposes. The aerial photographs and associated paper overlays represent copies of field slips of geological maps that were compiled by BGS under contract to the Falkland Islands Government. Copyright remains with the Falkland Islands Government , but there are no access or usage constraints for BGS staff for BGS purposes. Access to both datasets are restricted to BGS staff.

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Open Street Map (2025). OpenStreetMap [Dataset]. https://data.europa.eu/data/datasets/openstreetmap-1/embed
Organization logo

OpenStreetMap

Explore at:
html, esri shapeAvailable download formats
Dataset updated
Feb 28, 2025
Dataset provided by
OpenStreetMap//www.openstreetmap.org/
Authors
Open Street Map
Description

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:

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.

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.

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