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TwitterSpatial coverage index compiled by East View Geospatial of set "United Kingdom OS MasterMap - Topography Layer". Source data from OSI (publisher). Type: Topographic. Scale: Varies. Region: Europe.
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TwitterThe OS MasterMap Topography Layer is a large-scale digital database of the detailed surface features on the landscape, with relative positions and elevations of every town, manor, parish, or tract of land mapped to minute detail. This highly accurate, flexible resource covers some 400 million man-made and natural features, from fields to pillar boxes, each with its own unique identifier or TOID® for easy reference. It is broken down into nine themes to make it easier to access the data; roads, tracks and paths; land; buildings; water; rail; height; heritage; structures; and administrative boundaries. There is the choice of a single theme, a combination of themes or all of the above. When overlaid with other OS MasterMap layers or the customer's own data, it will provide a clear picture of what's on the ground. The Topography Layer helps in the planning and management of land and property by enabling users to visualise the context of any feature or site, to pinpoint individual properties and precise sites when a high level of detail is required, and to assess the impact of a proposed development effectively and efficiently. It is data association that makes OS MasterMap intelligent. It enables organisations to link their own data to that of the digital map. By associating their data to the OS MasterMap features, organisations are then able to analyse a richer database, and can search and query using their own data fields as well as the attributes provided by OS MasterMap.
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TwitterOS MasterMap Topography Layer – Building Height Attribute shows building height properties to help manage assets, plan works and visualise urban density. Building Height Attribute is an enhancement to, and forms part of, OS MasterMap Topography Layer. It provides a set of height attributes with a buildings theme within OS MasterMap Topography Layer. It has further been enhanced with the inclusion of tanks, chimney stacks and glasshouses. The product has been developed in response to customer demand for height information for buildings and select structures. It can be used to make simple 3D visualisations of buildings and structures and can be used to assist a range of analytical applications across both public and commercial sectors. Building Height Attribute can be used to enhance the information obtained from OS MasterMap Topography Layer in a range of applications. It can also be integrated with other Ordnance Survey products such as OS Terrain® 5 andOS MasterMap Imagery Layer.
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TwitterOS MasterMap Water Network Layer will become "end of life" on 31st March 2026. OS MasterMap Water Network Layer offers one of the world’s most detailed, heighted water networks – showing the flow and precise course of every river, stream, lake and canal in Great Britain. From aqueducts to tunnels, with annotations of flow direction, OS MasterMap Water Network Layer provides the detailed mapping that’s most useful – including underground watercourses (inferred from entry and exits). Proximity is key. Organisations can understand water-related risks in detail, combining OS MasterMap Water Layer with OS MasterMap Topography Layer, property information and 3D height data for even richer insights. For planners, for surveyors, for engineers – this Layer offers the potential to model in 2D and 3D like never before, thanks to the clarity of river flow, gradient and river widths.
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TwitterSlick, quick vector maps for use as a customisable, contextual base, with a focus on web and mobile apps. Benefit from unrivalled levels of detail in your web or mobile app. OS Vector Tile API contains OS MasterMap Topography Layer including building heights. Integrate Ordnance Survey's up-to-date, detailed maps in your applications, enabling you to make location-based decisions with confidence. You can customise the content and style to make your perfect map.
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TwitterOS MasterMap Topography Layer – Building Height Attribute zobrazuje vlastnosti výšky budovy, které pomáhají spravovat aktiva, plánovat práce a vizualizovat hustotu měst.
Building Height Attribute je vylepšení topografické vrstvy OS MasterMap a je její součástí. Poskytuje sadu atributů výšky s motivem budovy v OS MasterMap Topography Layer. Dále byla rozšířena o nádrže, komíny a skleníky.
Produkt byl vyvinut v reakci na poptávku zákazníků po výškových informacích pro budovy a vybrané konstrukce. Může být použit k vytvoření jednoduchých 3D vizualizací budov a konstrukcí a může být použit k podpoře řady analytických aplikací ve veřejném i komerčním sektoru.
Atribut výšky budovy lze použít k vylepšení informací získaných z topografické vrstvy OS MasterMap v řadě aplikací. Může být také integrován s dalšími produkty Ordnance Survey, jako jsou OS Terrain® 5 a OS MasterMap Imagery Layer.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
These data are the urban woodland habitat networks of eleven different cities: Nottingham, Plymouth, Stoke-on-Trent, Milton Keynes, Coventry, Wolverhampton, Northampton, Birkenhead, Derby, Luton and Kingston-Upon-Hull.Three types of data are used to create the shape files:The OS MasterMap Topography (EDINA Digimap Ordnance Survey Service, 2024) ‘Natural Environment’ layer.This was overlain upon the latest version of the LandCover Map (EDINA Environment Digimap Service, 2022) for each urban area using QGIS (https://qgis.org/). Urban area boundaries were determined and clipped using the experimental urban extent polygons for the UK (ONS, 2019).ReferencesEDINA Digimap Ordnance Survey Service (2024) OS MasterMap® Topography Layer [GeoPackage geospatial data], Scale 1:1250, Tiles: GB, Updated: 1 February 2024, Ordnance Survey (GB). Available at: https://digimap.edina.ac.uk (Accessed: 10 July 2024).EDINA Environment Digimap Service (2022) Land Cover Map 2021 [FileGeoDatabase geospatial data], Scale 1:250000, Tiles: GB, Updated: 10 August 2022, CEH. Available at: https://digimap.edina.ac.uk (Accessed: 10 July 2024).ONS (2019) Experimental urban extent for UK - Office for National Statistics. Available at: https://www.ons.gov.uk/aboutus/transparencyandgovernance/experimentalurbanextentforuk (Accessed: 26 August 2024).
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TwitterGreat Britain's (England, Scotland, Wales) cities (e.g. London, Birmingham, Edinburgh) named and represented as point features with an indicative bounding box. This data is often used for geocoding, service delivery and statistical analysis. OS Cities Data is available in a number of Ordnance Survey (OS) products: OS Open Names (bounding box and point geometry), OS Names API, MasterMap Topography Layer (point geometry), Vector Map Local (point geometry) and Vector Map District (point geometry). Small-scale cartographic representations are also available in OS cartographic products. All data is collected by Ordnance Survey as part of their role as the National Mapping Agency of Great Britain.
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TwitterCC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
License information was derived automatically
OS Ponds (taken from the MasterMap Topography layer) that have a matching pond survey (Clean Water for Wildlife of Priority Ponds) within their geometry, or within 30m of their edge. Attribution statement: Contains, or is derived from, information supplied by Natural England and the Ordnance Survey. © Crown copyright and database rights 2022. Ordnance Survey 100022021’
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TwitterA Site of Special Scientific Interest (SSSI) is the land notified as an SSSI under the Wildlife and Countryside Act (1981), as amended. Sites notified under the 1949 Act only are not included in the Data set. SSSI are the finest sites for wildlife and natural features in England, supporting many characteristic, rare and endangered species, habitats and natural features. The data does Not include "proposed" sites. Boundaries are generally mapped against Ordnance Survey MasterMap Topography Layer.Full metadata can be viewed on data.gov.uk.
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TwitterA National Nature Reserve (NNR) is the land declared under the National Parks and Access to the Countryside Act 1949 or Wildlife and Countryside Act (1981) as amended. The data does not include "proposed" sites. Boundaries are mapped against Ordnance Survey MasterMap Topography Layer.Full metadata can be viewed on data.gov.uk.
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TwitterThe data shows Ordnance Survey pond locations, where they match with the surveyed location of a priority habitat pond. The location and attributes of these priority habitat ponds does not currently exists for end users, ecologists, community groups and other stakeholders. The layer will be used to identify, conserve and enhance these features.OS Ponds (taken from the MasterMap Topography layer hydrology>static water) that have a matching pond survey (Clean Water for Wildlife of Priority Ponds) (see data within this folder for these layers) within their geometry, or within 30m of their edge. proximity was created (using NEAR tool) for points and then simplified (to remove 1 to many relationship) and joined to OS polygons using FID unique value. Unnecessary OS fields have been deleted.This data was created using data from Clean Water for Wildlife of Priority Ponds Clean Water for Wildlife - Freshwater Habitats Trust under a CC-BY licence with OS MasterMap data under the PSGA licence.It is published by Natural England under the Non-Commercial Government Licence due to the quantity of OS data contained within it.Full metadata can be viewed on data.gov.uk.
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TwitterThis dataset provides an assessment of the risk of flooding from rivers and the sea (RoFRS) for areas at risk linked to the properties within that area in England. It includes Ordnance Survey reference enabling the data to be linked to AddressBase and/or the OS MasterMap Topography Layer. RoFRS outputs are generally not suitable for property level assessment and estimate flood risk to an area of land. The method used does not provide information relating to when the floodwater may be deep enough to start causing damage or disruption to homes, roads or other infrastructure. Alongside depth information, additional information on properties (including floor levels) would be required to say with any confidence whether flooding of a certain depth would enter into a property and cause damage. It can only provide an indication of the likelihood of flooding in the area of the property. Further information is required to determine the actual impact on a specific property. Attribution statement: © Environment Agency copyright and/or database right 2025. All rights reserved. Some of the data in the database has been produced using data licensed from the Centre for Ecology and Hydrology, © NERC. © Crown Copyright and Database Rights 2025 OS AC0000807064.
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TwitterMappe vettoriali veloci e veloci da utilizzare come base contestuale personalizzabile, con particolare attenzione alle app web e mobili.
Approfitta di livelli di dettaglio impareggiabili nella tua app web o mobile. OS Vector Tile API contiene OS MasterMap Topography Layer incluse le altezze degli edifici.
Integra le mappe aggiornate e dettagliate di Ordnance Survey nelle tue applicazioni, consentendoti di prendere decisioni basate sulla posizione con fiducia. Puoi personalizzare il contenuto e lo stile per creare la tua mappa perfetta.
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TwitterThis dataset is refreshed on a weekly basis from the datasets the team works on daily.Last update date: 09 March 2026National Highways Operational Highway Boundary (RedLine) maps out the land belonging to the highway for the whole Strategic Road Network (SRN). It comprises two layers; one being the an outline and another showing the registration status / category of land of land that makes up the boundary. Due to the process involved in creating junctions with local highway authority (LHA) roads, land in this dataset may represent LHA highway (owned by National Highways but the responsibility of the LHA to maintain). Surplus land or land held for future projects does not form part of this dataset.The highway boundary is derived from:Ordnance Survey Mastermap Topography,HM Land Registry National Polygon Service (National Highway titles only), andplots researched and digitised during the course of the RedLine Boundary Project.The boundary is split into categories describing the decisions made for particular plots of land. These categories are as follows:Auto-RedLine category is for plots created from an automated process using Ordnance Survey MasterMap Topography as a base. Land is not registered under National Highways' name. For example, but not limited to, unregistered ‘ancient’ highway vested in Highways England, or bridge carrying highways over a rail line.NH Title within RedLine category is for plots created from Land Registry Cadastral parcels whose proprietor is National Highways or a predecessor. Land in this category is within the highway boundary (audited) or meets a certain threshold by the algorithm.NH Title outside RedLine category is for plots created in the same way as above but these areas are thought to be outside the highway boundary. Where the Confidence is Low, land in this category is yet to be audited. Where the Confidence is High, land in this category has been reviewed and audited as outside our operational boundary.National Highways (Technician) Data category is for plots created by National Highways, digitised land parcels relating to highway land that is not registered, not yet registered or un-registerable.Road in Tunnel category, created using tunnel outlines from Ordnance Survey MasterMap Topography data. These represent tunnels on Highways England’s network. Land is not registered under National Highways' name, but land above the tunnel may be in National Highways’ title. Please refer to the definitive land ownership records held at HM Land Registry.The process attribute details how the decision was made for the particular plot of land. These are as follows:Automated category denotes data produced by an automated process. These areas are yet to be audited by the company.Audited category denotes data that has been audited by the company.Technician Data (Awaiting Audit) category denotes data that was created by National Highways but is yet to be audited and confirmed as final.The confidence attribute details how confident you can be in the decision. This attribute is derived from both the decisions made during the building of the underlying automated dataset as well as whether the section has been researched and/or audited by National Highways staff. These are as follows:High category denotes land that has a high probability of being within the RedLine boundary. These areas typically are audited or are features that are close to or on the highway.Moderate category denotes land that is likely to be within the highway boundary but is subject to change once the area has been audited.Low category denotes land that is less likely to be within the highway boundary. These plots typically represent Highways England registered land that the automated process has marked as outside the highway boundary.Please note that this dataset is indicative only. For queries about this dataset please contact the GIS and Research Team.
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TwitterSchlanke, schnelle Vektorkarten zur Verwendung als anpassbare, kontextbezogene Basis mit Schwerpunkt auf Web- und mobilen Apps.
Profitieren Sie von unübertroffenen Detaillierungsgraden in Ihrer Web- oder mobilen App. OS Vector Tile API enthält OS MasterMap Topography Layer einschließlich Gebäudehöhen.
Integrieren Sie die aktuellen, detaillierten Karten von Ordnance Survey in Ihre Anwendungen, damit Sie standortbasierte Entscheidungen mit Zuversicht treffen können. Sie können den Inhalt und den Stil anpassen, um Ihre perfekte Karte zu erstellen.
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TwitterAuthor:Buro HappoldCreation date:November 2024Date of source data harvest:March 2024Temporal coverage of source data:Up to March 2024Spatial Resolution:Lower Super Output Area (LSOA)Geometry:PolygonSource data URL:OS MasterMap Topography Layer | Data Products | OS (ordnancesurvey.co.uk)Data terms of use:Dataset can be shared openly for reuse for non-commercial purposes, with appropriate attribution. Data contains Ordnance Survey mapping and is published under Ordnance Survey's 'presumption to publish'.Data attribution:- Dataset created by Buro Happold as part of the CIEN & South London sub-regional LAEPs, 2024.- Contains OS data © Crown copyright and database right 2025 (0100032216 GLA).- Office for National Statistics licensed under Open Government Licence v3.0.Workflow Diagram:Available:pngComments:The data and analysis developed for the sub-regional LAEP was undertaken using data available at the time and will need to be refined for a full Phase 2 LAEP. Please checkherefor more detailed background on the data.
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TwitterSmidiga, snabba vektorkartor för användning som en anpassningsbar, kontextuell bas, med fokus på webb- och mobilappar.
Dra nytta av oöverträffade detaljnivåer i din webb- eller mobilapp. OS Vector Tile API innehåller OS MasterMap Topography Layer inklusive byggnadshöjder.
Integrera Ordnance Surveys uppdaterade, detaljerade kartor i dina applikationer, så att du tryggt kan fatta platsbaserade beslut. Du kan anpassa innehållet och stilen för att göra din perfekta karta.
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TwitterLakes (taken from the Ordnance Survey MasterMap Topography layer hydrology/static water) that meet one or more priority habitat criteria.More detailed metadata description to follow.Full metadata can be viewed on data.gov.uk.
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TwitterGreat Crested Newt eDNA and Habitat Suitability Index Survey results for Ponds surveyed for District Level Licensing. Also included for some ponds is information on water pH and temperature as well as observations of other great crested newt life stages.The eDNA surveys for great crested newts were undertaken following the methodology contained in the Technical Advice Note WC1067 (2014). Habitat suitability surveys were conducted following the Amphibian and Reptile Groups of the United Kingdom Advice Note 5 (2010). Ponds to be surveyed were identified using OS MasterMap® Topography Layer. This data is used to help build great crested species distribution models for District Level Licensing and will be updated annually with survey data generated through the monitoring of District Level Licensing compensation habitat.Additional information on the dataset and attribution can be downloaded from GCN+eDNA+Pond+Survey+DLL+2017-2019+Docs.zipFull metadata can be viewed on data.gov.uk
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TwitterSpatial coverage index compiled by East View Geospatial of set "United Kingdom OS MasterMap - Topography Layer". Source data from OSI (publisher). Type: Topographic. Scale: Varies. Region: Europe.