https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
Health geography hierarchy boundaries, December 2023, England and Wales.Boundaries used (BGC) for geographies in England and Wales are generalised (20m) and are clipped to the coastline for England and Wales.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data for paper in Finance and Space, 1(1), 489–493 (Dec 2024)This database, which was collated from open and proprietary datasets before being cleaned, includes 915 contracts awarded to UK-based private sector contractors by the UK’s Foreign, Commonwealth and Development Office (formerly Department for International Development), between 1st January 2012 and 31st December 2022. The data includes contract award totals by firm, and the registered addresses and regional locations of firms that win UK aid contract awards.AbstractThis financial visualisation (FinVis) shows the geographical distribution of the UK’s top for-profit development contractors. Using a novel database, we map the location and value of 915 contracts awarded to UK-based private sector contractors by the UK’s Foreign, Commonwealth and Development Office (formerly the Department for International Development). It shows the geography of firms capturing aid finance, concentrated in London and the southeast of England. It contributes to understanding ‘aid contractor assemblages’ (cf. Roberts, S. M. 2014. Development Capital: USAID and the Rise of Development Contractors. Annals of The Association of American Geographers, 104(5), 1030–1051), and the knowledge economies and networks of firms which have become increasingly powerful in shaping a market around the ‘business of development’.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A web map showing administrative geography hierarchy boundaries in the UK as at 31 December 2022.Boundaries used (BGC) for geographies in Great Britain are generalised (20m) and are clipped to the coastline for Great BritainBoundaries used (BGE) for geographies in Northern Ireland are generalised (20m) and are extent of the realm and are not clipped to the coastline for Northern Ireland.
How would you define the boundaries of a town or city in England and Wales in 2016?
Maybe your definition would be based on its population size, geographic extent or where the industry and services are located. This was a question the ONS had to consider when creating a new statistical geography called Towns and Cities.
In reality, the ability to delimit the boundaries of a city or town is difficult!
Major Towns and Cities
The new statistical geography, Towns and Cities has been created based on population size and the extent of the built environment. It contains 112 towns and cities in England and Wales, where the residential and/or workday population > 75,000 people at the 2011 Census. It has been constructed using the existing Built-Up Area boundary set produced by Ordnance Survey in 2011.
This swipe map shows where the towns and cities and built-up areas are different. Just swipe the bar from left to right.
The blue polygons are the towns and cities and the purple polygons are the built-up areas.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Regions were built up of complete counties/unitary authorities so, although they were subject to change, they always reflected administrative boundaries as at the end of the previous year.
The Region area list contains nine areas for English Regions, and provides coverage of England only.
Please visit ONS Beginner's Guide to UK Geography for more info.
The boundaries are available as either extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands) or
clipped to the coastline (Mean High Water mark).
Geographic Information System Analytics Market Size 2024-2028
The geographic information system analytics market size is forecast to increase by USD 12 billion at a CAGR of 12.41% between 2023 and 2028.
The GIS Analytics Market analysis is experiencing significant growth, driven by the increasing need for efficient land management and emerging methods in data collection and generation. The defense industry's reliance on geospatial technology for situational awareness and real-time location monitoring is a major factor fueling market expansion. Additionally, the oil and gas industry's adoption of GIS for resource exploration and management is a key trend. Building Information Modeling (BIM) and smart city initiatives are also contributing to market growth, as they require multiple layered maps for effective planning and implementation. The Internet of Things (IoT) and Software as a Service (SaaS) are transforming GIS analytics by enabling real-time data processing and analysis.
Augmented reality is another emerging trend, as it enhances the user experience and provides valuable insights through visual overlays. Overall, heavy investments are required for setting up GIS stations and accessing data sources, making this a promising market for technology innovators and investors alike.
What will be the Size of the GIS Analytics Market during the forecast period?
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The geographic information system analytics market encompasses various industries, including government sectors, agriculture, and infrastructure development. Smart city projects, building information modeling, and infrastructure development are key areas driving market growth. Spatial data plays a crucial role in sectors such as transportation, mining, and oil and gas. Cloud technology is transforming GIS analytics by enabling real-time data access and analysis. Startups are disrupting traditional GIS markets with innovative location-based services and smart city planning solutions. Infrastructure development in sectors like construction and green buildings relies on modern GIS solutions for efficient planning and management. Smart utilities and telematics navigation are also leveraging GIS analytics for improved operational efficiency.
GIS technology is essential for zoning and land use management, enabling data-driven decision-making. Smart public works and urban planning projects utilize mapping and geospatial technology for effective implementation. Surveying is another sector that benefits from advanced GIS solutions. Overall, the GIS analytics market is evolving, with a focus on providing actionable insights to businesses and organizations.
How is this Geographic Information System Analytics Industry segmented?
The geographic information system analytics industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2024-2028, as well as historical data from 2018-2022 for the following segments.
End-user
Retail and Real Estate
Government
Utilities
Telecom
Manufacturing and Automotive
Agriculture
Construction
Mining
Transportation
Healthcare
Defense and Intelligence
Energy
Education and Research
BFSI
Components
Software
Services
Deployment Modes
On-Premises
Cloud-Based
Applications
Urban and Regional Planning
Disaster Management
Environmental Monitoring Asset Management
Surveying and Mapping
Location-Based Services
Geospatial Business Intelligence
Natural Resource Management
Geography
North America
US
Canada
Europe
France
Germany
UK
APAC
China
India
South Korea
Middle East and Africa
UAE
South America
Brazil
Rest of World
By End-user Insights
The retail and real estate segment is estimated to witness significant growth during the forecast period.
The GIS analytics market analysis is witnessing significant growth due to the increasing demand for advanced technologies in various industries. In the retail sector, for instance, retailers are utilizing GIS analytics to gain a competitive edge by analyzing customer demographics and buying patterns through real-time location monitoring and multiple layered maps. The retail industry's success relies heavily on these insights for effective marketing strategies. Moreover, the defense industries are integrating GIS analytics into their operations for infrastructure development, permitting, and public safety. Building Information Modeling (BIM) and 4D GIS software are increasingly being adopted for construction project workflows, while urban planning and designing require geospatial data for smart city planning and site selection.
The oil and gas industry is leveraging satellite imaging and IoT devices for land acquisition and mining operations. In the public sector,
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Super Output Areas are a geographic hierarchy designed to improve the reporting of small-area statistics.
The Middle Super Output Areas and Intermediate Zones area list contains 8,660 areas of the following constituent geographies:
Please visit ONS Beginner's Guide to UK Geography for more info.
The boundaries are available as either extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands) or
clipped to the coastline (Mean High Water mark).
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
The OS Open Carto map service is designed to be used as background mapping providing a seamless map view from small to large scales with a consistent cartographic representation.
The sources of data are Ordnance Survey Strategi data for small and mid-scales and Vector Map District and Open Map Local for the largest scales.
The currency of the data is;Strategi - 01/2016Vector Map District - 03/2016Open Map Local - 03/2015
The coverage of the map service is GB.
The map projection is British National Grid.
The service is appropriate for viewing down to a scale of approximately 1:5,000.
Basemap last Updated on: 03/06/2016
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the digital vector boundaries for Countries, in the United Kingdom, as at December 2020.The boundaries available are: (BFC) Full resolution - clipped to the coastline (Mean High Water mark). Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of ArcGIS for INSPIRE Feature Download Service – https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Countries_December_2020_UK_BFC/WFSServer?service=wfs&request=getcapabilitiesREST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Countries_December_2020_UK_BFC_2022/FeatureServerREST URL of ArcGIS for INSPIRE View Service –https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Countries_(December_2020)_UK_BFC/MapServer
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the digital vector boundaries for Covid Infection Survey Geography, in the United Kingdom, as at December 2020.The boundaries available are: (BGC) Generalised (20m) - clipped to the coastline (Mean High Water mark).Contains both Ordnance Survey and ONS Intellectual Property Rights.
REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Covid_Infection_Survey_Dec_2020_UK_BGC/FeatureServerREST URL of WFS Server –https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Covid_Infection_Survey_Dec_2020_UK_BGC/WFSServer?service=wfs&request=getcapabilitiesREST URL of Map Server –https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Covid_Infection_Survey_Dec_2020_UK_BGC/MapServer
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
Output Area is the lowest geographical level at which census estimates are provided. Output Areas were introduced in Scotland at the 1981 Census and in all the countries of the UK at the 2001 Census.
The Output Areas and Small Areas list contains 232,296 areas of the following constituent geographies:
Please visit ONS Beginner's Guide to UK Geography for more info.
The boundaries are available as either extent of the realm (usually this is the Mean Low Water mark but in some cases boundaries extend beyond this to include off shore islands) or
clipped to the coastline (Mean High Water mark).
This file contains the digital vector boundaries for Countries, in the United Kingdom, as at December 2024.The boundaries available are: (BGC) Generalised (20m) - clipped to the coastline (Mean High Water mark).Contains both Ordnance Survey and ONS Intellectual Property Rights.
REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Countries_December_2024_Boundaries_UK_BGC/FeatureServerREST URL of WFS Server –https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Countries_December_2024_Boundaries_UK_BGC/WFSServer?service=wfs&request=getcapabilitiesREST URL of Map Server –https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Countries_December_2024_Boundaries_UK_BGC/MapServer
Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
License information was derived automatically
This dataset contains summary data regarding historical (1930s-40s) land use and land-use change between 1930s and 2007 according to broad land-use categories. Data provided are summary values at the 10-km grid square 'hectad' level of the British National Grid, specifying the proportion and proportion of change in broad land-use categories.
Historical data are based on the first Land Utilisation Survey of Great Britain (Stamp 1931). For England and Wales, digitisation of the historical maps contains information supplied by Natural England, based on methods developed by Baily et al. (2011). For Scotland, map images were digitised using the R package HistMapR (Auffret et al. 2017). Both methods involve processing and classifying images based on the colour of the historical land-use map categories. Classified maps were then resampled to the 25m resolution of the modern UK Land Cover Map 2007 (Morton et al. 2011), and both historical and modern land-use categories were adjusted to produce broad categories of equivalent land use: Arable, Grassland, Urban, Woodland, Agriculturally-Improved Grassland and Surface Water. In Scotland, surface water from a modern map is used for the historical time period due to issues in classifying this category. Pixels within a 75m buffer of the modern road network were removed due to the disproportionate size of roads shown in the historical maps, and pixels falling into some coastal land-use categories in the modern maps were removed due to a lack of equivalent in the historical maps. The proportions of remaining pixels within each hectad, and the change in the proportion over time was then calculated. Full details of data creation and processing can be found in Suggitt et al. (2023), and more information on the data files can be found in the readme.
The extent of the data files: GB_LandUseChange_Data.csv - table containing summary data, 2802 rows and 15 columns GB_LandUseChange_LowlandGrasslandChange.csv - table containing data on lowland grassland change, 2802 rows and 10 columns
The file GB_LandUseChange_Raster.tif is a GeoTIFF file primarily intended to be used with the R script. It can also be opened using other GIS software.
If R is installed with required packages (see sessionInfo.txt), the file Rplots.pdf can be generated running: Rscript GB_LandUseChange_Code.R
References:
Auffret, A.G., Kimberley, A., Plue, J., Skånes, H., Jakobsson, S., Waldén, E., Wennbom, M., Wood, H., Bullock, J.M., Cousins, S.A.O., Gartz, M., Hooftman, D.A.P., Tränk, L., 2017, HistMapR: Rapid digitization of historical land-use maps in R, Methods in Ecology and Evolution 8: 1453-1457. https://doi.org/10.1111/2041-210X.12788
Baily, B., Riley, M., Aucott, P. & Southall, H., 2011, Extracting digital data from the First Land Utilisation Survey of Great Britain – Methods, issues and potential, Applied Geography 31: 959-968. https://doi.org/10.1016/j.apgeog.2010.12.007
Morton, D., Rowland, C., Wood, C., Meek, L., Marston, C., Smith, G., Wadsworth, R., Simpson, I.C., 2011, Final Report for LCM2007 – the new UK Land Cover Map, Centre for Ecology & Hydrology, Wallingford, UK. http://nora.nerc.ac.uk/id/eprint/14854
Stamp, D.L., 1931, The Land Utilisation Survey of Britain. Geographical Journal 78: 40-47. https://doi.org/10.2307/1784994
Suggitt, A.J., Wheatley, C.J., Aucott, P., Beale, C.M., Fox, R., Hill, J.K., Isaac, N.J.B., Martay, B., Southall, H., Thomas, C.D., Walker, K.J., Auffret, A.G., 2023, Linking climate warming and land conversion to species’ range changes across Great Britain, Nature Communications, https://doi.org/10.1038/s41467-023-42475-0
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This article describes a methodology for mapping the level of household car ownership for the island of Great Britain, using data from five population Censuses. The basic units of display are ‘Tracts’, which are aggregations of local municipality electoral wards that were in place for each of the three Censuses conducted in 1981, 1991 and 2001. In addition, this article documents the utility of these Tracts to represent a consistent geography across two additional Censuses, those of 1971 and 2011. This analysis enables a consistent and complete picture of changes in car ownership over a 40-year period to be visualised as both geographical maps and cartograms of Great Britain. The advantages and disadvantages of each type of representation are discussed. The paper finishes by providing evidence of a downward trend in car ownership in central London and increasing spatial homogeneity in car ownership through time.
Geolocet's Administrative Boundaries Spatial Data serves as the gateway to visualizing geographic distributions and patterns with precision. The comprehensive dataset covers all European countries, encompassing the boundaries of each country, as well as its political and statistical divisions. Tailoring data purchases to exact needs is possible, allowing for the selection of individual levels of geography or bundling all levels for a country with a discount. The seamless integration of administrative boundaries onto digital maps transforms raw data into actionable insights.
🌐 Coverage Across European Countries
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🔍 Geographic Context for Strategic Decisions
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The integration of Geolocet's Administrative Boundaries Spatial Data with Geolocet's Demographic Data creates a synergy that enriches insights. The combination of administrative boundaries and demographic information offers a comprehensive understanding of regions and their unique characteristics. This integration enables tailoring of strategies, marketing campaigns, and resource allocation to specific areas with confidence.
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Combining Geolocet's Administrative Boundaries Spatial Data with our POI (Points of Interest) Data unveils not only the administrative divisions but also insights into the local characteristics of these areas. Overlaying POI data on administrative boundaries reveals details about the number and types of businesses, services, and amenities within specific regions. Whether conducting market research, identifying prime locations for retail outlets, or analyzing the accessibility of essential services, this combined data empowers a holistic view of target areas.
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LCM2007 is a parcel-based thematic classification of satellite image data covering the entire United Kingdom. The map updates and upgrades the Land Cover Map of Great Britain (LCMGB) 1990 and LCM2000. Like the earlier 1990 and 2000 products, LCM2007 is derived from a computer classification of satellite scenes obtained mainly from Landsat, IRS and SPOT sensors. It also covers Northern Ireland and incorporates information derived from other ancillary datasets. LCM2007 was classified using a nomenclature corresponding to the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompasses the entire range of UK habitats. In addition, it recorded further detail where possible, incorporating land cover classes sought by other users. LCM2007 is produced in both vector and raster formats, with a number of different versions containing varying levels of detail and at different spatial resolutions. Dataset consists of vector version, with polygons as classified (Northern Ireland only).
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
This file contains the digital vector boundaries for Local Authority Districts, in the United Kingdom, as at December 2024.The boundaries available are: (BUC) Ultra generalised (500m) - clipped to the coastline (Mean High Water Mark).Contains both Ordnance Survey and ONS Intellectual Property Rights.REST URL of Feature Access Service – https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Authority_Districts_December_2024_Boundaries_UK_BUC/FeatureServerREST URL of WFS Server –https://dservices1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/services/Local_Authority_Districts_December_2024_Boundaries_UK_BUC/WFSServer?service=wfs&request=getcapabilitiesREST URL of Map Server –https://services1.arcgis.com/ESMARspQHYMw9BZ9/arcgis/rest/services/Local_Authority_Districts_December_2024_Boundaries_UK_BUC/MapServer
https://vocab.nerc.ac.uk/collection/L08/current/UN/https://vocab.nerc.ac.uk/collection/L08/current/UN/
Interactive map service (http://ims.sea.gov.ua:8081/website/Atlas_forAll_en/viewer.htm), based on GIS database ATLAS has been created by UkrSCES to provide an integrated picture of the modern state of the Black Sea coastal zone. It provides information on the geography of NWBS coastal zone and coastal water areas, as well as data on demography, natural resources, economy and pollution. The work is financed under the auspices of the Ministry for Environmental Protection of Ukraine. ATLAS is organised around several themes and elements, comprising interactive maps, statistical data, and descriptions. The cartography is based on the digital topographic chart of Ukraine (scale 1:500,000) and includes the following thematic layers: * Natural resources, * Protected territories, * Pollution resources, * Recreational potential, * Coastal zone. The main part of the descriptive text of ATLAS is drawn from the results of various studies that were undertaken by UkrSCES from 1993 to 2006. ATLAS allows users to select and display information on the resources, state and condition оf the NWBS coastal zone. This interactive service can be employed not only by experts and those responsible for decision-making, but also by the general public. It represents a major contribution to Ukraine's responsibilities under the Aarhus Convention for access to environmental information.
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A PDF map that shows the local authority districts, counties and unitary authorities in the United Kingdom as at April 2021. The map has been created to show the United Kingdom from country level down to local authority district level. (File Size - 1,969 KB)
https://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
Health geography hierarchy boundaries, December 2023, England and Wales.Boundaries used (BGC) for geographies in England and Wales are generalised (20m) and are clipped to the coastline for England and Wales.