21 datasets found
  1. Map based index (GeoIndex) county maps 6inch

    • metadata.bgs.ac.uk
    • hosted-metadata.bgs.ac.uk
    • +3more
    ogc:wms +2
    Updated 2000
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    British Geological Survey (2000). Map based index (GeoIndex) county maps 6inch [Dataset]. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/9df8df53-2a9d-37a8-e044-0003ba9b0d98
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    ogc:wms, www:link-1.0-http--link, ogc:wms-1.3.0-http-get-capabilitiesAvailable download formats
    Dataset updated
    2000
    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

    Area covered
    Description

    The index shows the availability of county series geological maps, 1:10560 scale. The maps themselves were produced on OS County Series sheets between approximately 1860 and 1960. The list indicates whether the map has been revised or re-surveyed and gives details of any later versions that have been produced. It is advisable to discuss your requirements before ordering or travelling to view these maps.

  2. UK Travel Area Isochrones (Nov/Dec 2022) by Public Transport and Walking for...

    • geoportal.statistics.gov.uk
    • ckan.publishing.service.gov.uk
    • +1more
    Updated Jan 16, 2023
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    Office for National Statistics (2023). UK Travel Area Isochrones (Nov/Dec 2022) by Public Transport and Walking for East Midlands - Generalised to 10m [Dataset]. https://geoportal.statistics.gov.uk/datasets/ons::uk-travel-area-isochrones-nov-dec-2022-by-public-transport-and-walking-for-east-midlands-generalised-to-10m/about?appid=e2d91cb940234693bf2c78e5e2d7a504&edit=true
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    Dataset updated
    Jan 16, 2023
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Area covered
    Description

    This data is experimental, see the ‘Access Constraints or User Limitations’ section for more details. This dataset has been generalised to 10 metre resolution where it is still but the space needed for downloads will be improved.A set of UK wide estimated travel area geometries (isochrones), from Output Area (across England, Scotland, and Wales) and Small Area (across Northern Ireland) population-weighted centroids. The modes used in the isochrone calculations are limited to public transport and walking. Generated using Open Trip Planner routing software in combination with Open Street Maps and open public transport schedule data (UK and Ireland).The geometries provide an estimate of reachable areas by public transport and on foot between 7:15am and 9:15am for a range of maximum travel durations (15, 30, 45 and 60 minutes). For England, Scotland and Wales, these estimates were generated using public transport schedule data for Tuesday 15th November 2022. For Northern Ireland, the date used is Tuesday 6th December 2022.The data is made available as a set of ESRI shape files, in .zip format. This corresponds to a total of 18 files; one for Northern Ireland, one for Wales, twelve for England (one per English region, where London, South East and North West have been split into two files each) and four for Scotland (one per NUTS2 region, where the ‘North-East’ and ‘Highlands and Islands’ have been combined into one shape file, and South West Scotland has been split into two files).The shape files contain the following attributes. For further details, see the ‘Access Constraints or User Limitations’ section:AttributeDescriptionOA21CD or SA2011 or OA11CDEngland and Wales: The 2021 Output Area code.Northern Ireland: The 2011 Small Area code.Scotland: The 2011 Output Area code.centre_latThe population-weighted centroid latitude.centre_lonThe population-weighted centroid longitude.node_latThe latitude of the nearest Open Street Map “highway” node to the population-weighted centroid.node_lonThe longitude of the nearest Open Street Map “highway” node to the population-weighted centroid.node_distThe distance, in meters, between the population-weighted centroid and the nearest Open Street Map “highway” node.stop_latThe latitude of the nearest public transport stop to the population-weighted centroid.stop_lonThe longitude of the nearest public transport stop to the population-weighted centroid.stop_distThe distance, in metres, between the population-weighted centroid and the nearest public transport stop.centre_inBinary value (0 or 1), where 1 signifies the population-weighted centroid lies within the Output Area/Small Area boundary. 0 indicates the population-weighted centroid lies outside the boundary.node_inBinary value (0 or 1), where 1 signifies the nearest Open Street Map “highway” node lies within the Output Area/Small Area boundary. 0 indicates the nearest Open Street Map node lies outside the boundary.stop_inBinary value (0 or 1), where 1 signifies the nearest public transport stop lies within the Output Area/Small Area boundary. 0 indicates the nearest transport stop lies outside the boundary.iso_cutoffThe maximum travel time, in seconds, to construct the reachable area/isochrone. Values are either 900, 1800, 2700, or 3600 which correspond to 15, 30, 45, and 60 minute limits respectively.iso_dateThe date for which the isochrones were estimated, in YYYY-MM-DD format.iso_typeThe start point from which the estimated isochrone was calculated. Valid values are:from_centroid: calculated using population weighted centroid.from_node: calculated using the nearest Open Street Map “highway” node.from_stop: calculated using the nearest public transport stop.no_trip_found: no isochrone was calculated.geometryThe isochrone geometry.iso_hectarThe area of the isochrone, in hectares.Access constraints or user limitations.These data are experimental and will potentially have a wider degree of uncertainty. They remain subject to testing of quality, volatility, and ability to meet user needs. The methodologies used to generate them are still subject to modification and further evaluation.These experimental data have been published with specific caveats outlined in this section. The data are shared with the analytical community with the purpose of benefitting from the community's scrutiny and in improving the quality and demand of potential future releases. There may be potential modification following user feedback on both its quality and suitability.For England and Wales, where possible, the latest census 2021 Output Area population weighted centroids were used as the starting point from which isochrones were calculated.For Northern Ireland, 2011 Small Area population weighted centroids were used as the starting point from which isochrones were calculated. Small Areas and Output Areas contain a similar number of households within their boundaries. 2011 data was used because this was the most up-to-date data available at the time of generating this dataset. Population weighted centroids for Northern Ireland were calculated internally but may be subject to change - in the future we aim to update these data to be consistent with Census 2021 across the UK.For Scotland, 2011 Output Area population-weighted centroids were used as the starting point from which isochrones were calculated. 2011 data was used because this was the most up-to-date data available at the time of work.The data for England, Scotland and Wales are released with the projection EPSG:27700 (British National Grid).The data for Northern Ireland are released with the projection EPSG:29902 (Irish Grid).The modes used in the isochrone calculations are limited to public transport and walking. Other modes were not considered when generating this data.A maximum value of 1.5 kilometres walking distance was used when generating isochrones. This approximately represents typical walking distances during a commute (based on Department for Transport/Labour Force Survey data and Travel Survey for Northern Ireland technical reports).When generating Northern Ireland data, public transport schedule data for both Northern Ireland and Republic of Ireland were used.Isochrone geometries and calculated areas are subject to public transport schedule data accuracy, Open Trip Planner routing methods and Open Street Map accuracy. The location of the population-weighted centroid can also influence the validity of the isochrones, when this falls on land which is not possible or is difficult to traverse (e.g., private land and very remote locations).The Northern Ireland public transport data were collated from several files, and as such required additional pre-processing. Location data are missing for two bus stops. Some services run by local public transport providers may also be missing. However, the missing data should have limited impact on the isochrone output. Due to the availability of Northern Ireland public transport data, the isochrones for Northern Ireland were calculated on a comparable but slight later date of 6th December 2022. Any potential future releases are likely to contained aligned dates between all four regions of the UK.In cases where isochrones are not calculable from the population-weighted centroid, or when the calculated isochrones are unrealistically small, the nearest Open Street Map ‘highway’ node is used as an alternative starting point. If this then fails to yield a result, the nearest public transport stop is used as the isochrone origin. If this also fails to yield a result, the geometry will be ‘None’ and the ‘iso_hectar’ will be set to zero. The following information shows a further breakdown of the isochrone types for the UK as a whole:from_centroid: 99.8844%from_node: 0.0332%from_stop: 0.0734%no_trip_found: 0.0090%The term ‘unrealistically small’ in the point above refers to outlier isochrones with a significantly smaller area when compared with both their neighbouring Output/Small Areas and the entire regional distribution. These reflect a very small fraction of circumstances whereby the isochrone extent was impacted by the centroid location and/or how Open Trip Planner handled them (e.g. remote location, private roads and/or no means of traversing the land). Analysis showed these outliers were consistently below 100 hectares for 60-minute isochrones. Therefore, In these cases, the isochrone point of origin was adjusted to the nearest node or stop, as outlined above.During the quality assurance checks, the extent of the isochrones was observed to be in good agreement with other routing software and within the limitations stated within this section. Additionally, the use of nearest node, nearest stop, and correction of ‘unrealistically small areas’ was implemented in a small fraction of cases only. This culminates in no data being available for 8 out of 239,768 Output/Small Areas.Data is only available in ESRI shape file format (.zip) at this release.https://www.openstreetmap.org/copyright

  3. NSTA Virtual Map Gallery Tour - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 13, 2025
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    ckan.publishing.service.gov.uk (2025). NSTA Virtual Map Gallery Tour - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/nsta-virtual-map-gallery-tour3
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    Dataset updated
    Jun 13, 2025
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    Release date: 27 Oct 2020Average views per month: 696Sian Wilson (Senior Development Manager, Crown Estate Scotland)

  4. Mobile app usage on holiday in the United Kingdom (UK) 2015-2016

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Mobile app usage on holiday in the United Kingdom (UK) 2015-2016 [Dataset]. https://www.statista.com/statistics/324984/app-usage-on-holiday-in-the-united-kingdom/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    This statistic displays the types of mobile apps travelers from the United Kingdom (UK) used during their holiday in 2015 and 2016. Map and weather apps tended to be the most popular, with over half of respondents using them whilst on holiday in 2015 and 2016.

  5. Driver Technologies | Traffic Lights Map Video Data | North America and UK |...

    • datarade.ai
    .json
    Updated Aug 29, 2024
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    Driver Technologies, Inc​ (2024). Driver Technologies | Traffic Lights Map Video Data | North America and UK | Real-time and historical traffic information [Dataset]. https://datarade.ai/data-products/driver-technologies-traffic-lights-map-video-data-north-a-driver-technologies-inc
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    .jsonAvailable download formats
    Dataset updated
    Aug 29, 2024
    Dataset provided by
    Driver Technologies Inc.
    Authors
    Driver Technologies, Inc​
    Area covered
    United States, United Kingdom
    Description

    At Driver Technologies, we specialize in collecting high-quality, highly-anonymized, driving data crowdsourced using our dash cam app. Our Traffic Light Map Video Data is built from the millions of miles of driving data captured and is optimized to be trained for whatever computer vision models you need and enhancing various applications in transportation and safety.

    What Makes Our Data Unique? What sets our Traffic Light Map Video Data apart is its comprehensive approach to road object detection. By leveraging advanced computer vision models, we analyze the captured video to identify and classify various road objects encountered during an end user's trip. This includes road signs, pedestrians, vehicles, traffic signs, and road conditions, resulting in rich, annotated datasets that can be used for a range of applications.

    How Is the Data Generally Sourced? Our data is sourced directly from users who utilize our dash cam app, which harnesses the smartphone’s camera and sensors to record during a trip. This direct sourcing method ensures that our data is unbiased and represents a wide variety of conditions and environments. The data is not only authentic and reflective of current road conditions but is also abundant in volume, offering millions of miles of recorded trips that cover diverse scenarios.

    Primary Use-Cases and Verticals The Traffic Light Map Video Data is tailored for various sectors, particularly those involved in transportation, urban planning, and autonomous vehicle development. Key use cases include:

    Training Computer Vision Models: Clients can utilize our annotated data to develop and refine their own computer vision models for applications in autonomous vehicles, ensuring better object detection and decision-making capabilities in complex road environments.

    Urban Planning and Infrastructure Development: Our data helps municipalities understand road usage patterns, enabling them to make informed decisions regarding infrastructure improvements, safety measures, and traffic light placement. Our data can also aid in making sure municipalities have an accurate count of signs in their area.

    Integration with Our Broader Data Offering The Traffic Light Map Video Data is a crucial component of our broader data offerings at Driver Technologies. It complements our extensive library of driving data collected from various vehicles and road users, creating a comprehensive data ecosystem that supports multiple verticals, including insurance, automotive technology, and computer vision models.

    In summary, Driver Technologies' Traffic Light Map Video Data provides a unique opportunity for data buyers to access high-quality, actionable insights that drive innovation across mobility. By integrating our Traffic Light Map Video Data with other datasets, clients can gain a holistic view of transportation dynamics, enhancing their analytical capabilities and decision-making processes.

  6. UK Travel Area Isochrones (Nov/Dec 2022) by Public Transport and Walking for...

    • geoportal.statistics.gov.uk
    • ckan.publishing.service.gov.uk
    • +1more
    Updated Jan 16, 2023
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    Office for National Statistics (2023). UK Travel Area Isochrones (Nov/Dec 2022) by Public Transport and Walking for South East - Generalised to 10m [Dataset]. https://geoportal.statistics.gov.uk/datasets/uk-travel-area-isochrones-nov-dec-2022-by-public-transport-and-walking-for-south-east-generalised-to-10m/about
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    Dataset updated
    Jan 16, 2023
    Dataset authored and provided by
    Office for National Statisticshttp://www.ons.gov.uk/
    License

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

    Area covered
    Description

    This data is experimental, see the ‘Access Constraints or User Limitations’ section for more details. This dataset has been generalised to 10 metre resolution where it is still but the space needed for downloads will be improved.A set of UK wide estimated travel area geometries (isochrones), from Output Area (across England, Scotland, and Wales) and Small Area (across Northern Ireland) population-weighted centroids. The modes used in the isochrone calculations are limited to public transport and walking. Generated using Open Trip Planner routing software in combination with Open Street Maps and open public transport schedule data (UK and Ireland).The geometries provide an estimate of reachable areas by public transport and on foot between 7:15am and 9:15am for a range of maximum travel durations (15, 30, 45 and 60 minutes). For England, Scotland and Wales, these estimates were generated using public transport schedule data for Tuesday 15th November 2022. For Northern Ireland, the date used is Tuesday 6th December 2022.The data is made available as a set of ESRI shape files, in .zip format. This corresponds to a total of 17 files; one for Northern Ireland, one for Wales, eleven for England (one per English region, where London, and North West have been split into two files each) and four for Scotland (one per NUTS2 region, where the ‘North-East’ and ‘Highlands and Islands’ have been combined into one shape file, and South West Scotland has been split into two files).The shape files contain the following attributes. For further details, see the ‘Access Constraints or User Limitations’ section:AttributeDescriptionOA21CD or SA2011 or OA11CDEngland and Wales: The 2021 Output Area code.Northern Ireland: The 2011 Small Area code.Scotland: The 2011 Output Area code.centre_latThe population-weighted centroid latitude.centre_lonThe population-weighted centroid longitude.node_latThe latitude of the nearest Open Street Map “highway” node to the population-weighted centroid.node_lonThe longitude of the nearest Open Street Map “highway” node to the population-weighted centroid.node_distThe distance, in meters, between the population-weighted centroid and the nearest Open Street Map “highway” node.stop_latThe latitude of the nearest public transport stop to the population-weighted centroid.stop_lonThe longitude of the nearest public transport stop to the population-weighted centroid.stop_distThe distance, in metres, between the population-weighted centroid and the nearest public transport stop.centre_inBinary value (0 or 1), where 1 signifies the population-weighted centroid lies within the Output Area/Small Area boundary. 0 indicates the population-weighted centroid lies outside the boundary.node_inBinary value (0 or 1), where 1 signifies the nearest Open Street Map “highway” node lies within the Output Area/Small Area boundary. 0 indicates the nearest Open Street Map node lies outside the boundary.stop_inBinary value (0 or 1), where 1 signifies the nearest public transport stop lies within the Output Area/Small Area boundary. 0 indicates the nearest transport stop lies outside the boundary.iso_cutoffThe maximum travel time, in seconds, to construct the reachable area/isochrone. Values are either 900, 1800, 2700, or 3600 which correspond to 15, 30, 45, and 60 minute limits respectively.iso_dateThe date for which the isochrones were estimated, in YYYY-MM-DD format.iso_typeThe start point from which the estimated isochrone was calculated. Valid values are:from_centroid: calculated using population weighted centroid.from_node: calculated using the nearest Open Street Map “highway” node.from_stop: calculated using the nearest public transport stop.no_trip_found: no isochrone was calculated.geometryThe isochrone geometry.iso_hectarThe area of the isochrone, in hectares.Access constraints or user limitations.These data are experimental and will potentially have a wider degree of uncertainty. They remain subject to testing of quality, volatility, and ability to meet user needs. The methodologies used to generate them are still subject to modification and further evaluation.These experimental data have been published with specific caveats outlined in this section. The data are shared with the analytical community with the purpose of benefitting from the community's scrutiny and in improving the quality and demand of potential future releases. There may be potential modification following user feedback on both its quality and suitability.For England and Wales, where possible, the latest census 2021 Output Area population weighted centroids were used as the starting point from which isochrones were calculated.For Northern Ireland, 2011 Small Area population weighted centroids were used as the starting point from which isochrones were calculated. Small Areas and Output Areas contain a similar number of households within their boundaries. 2011 data was used because this was the most up-to-date data available at the time of generating this dataset. Population weighted centroids for Northern Ireland were calculated internally but may be subject to change - in the future we aim to update these data to be consistent with Census 2021 across the UK.For Scotland, 2011 Output Area population-weighted centroids were used as the starting point from which isochrones were calculated. 2011 data was used because this was the most up-to-date data available at the time of work.The data for England, Scotland and Wales are released with the projection EPSG:27700 (British National Grid).The data for Northern Ireland are released with the projection EPSG:29902 (Irish Grid).The modes used in the isochrone calculations are limited to public transport and walking. Other modes were not considered when generating this data.A maximum value of 1.5 kilometres walking distance was used when generating isochrones. This approximately represents typical walking distances during a commute (based on Department for Transport/Labour Force Survey data and Travel Survey for Northern Ireland technical reports).When generating Northern Ireland data, public transport schedule data for both Northern Ireland and Republic of Ireland were used.Isochrone geometries and calculated areas are subject to public transport schedule data accuracy, Open Trip Planner routing methods and Open Street Map accuracy. The location of the population-weighted centroid can also influence the validity of the isochrones, when this falls on land which is not possible or is difficult to traverse (e.g., private land and very remote locations).The Northern Ireland public transport data were collated from several files, and as such required additional pre-processing. Location data are missing for two bus stops. Some services run by local public transport providers may also be missing. However, the missing data should have limited impact on the isochrone output. Due to the availability of Northern Ireland public transport data, the isochrones for Northern Ireland were calculated on a comparable but slight later date of 6th December 2022. Any potential future releases are likely to contained aligned dates between all four regions of the UK.In cases where isochrones are not calculable from the population-weighted centroid, or when the calculated isochrones are unrealistically small, the nearest Open Street Map ‘highway’ node is used as an alternative starting point. If this then fails to yield a result, the nearest public transport stop is used as the isochrone origin. If this also fails to yield a result, the geometry will be ‘None’ and the ‘iso_hectar’ will be set to zero. The following information shows a further breakdown of the isochrone types for the UK as a whole:from_centroid: 99.8844%from_node: 0.0332%from_stop: 0.0734%no_trip_found: 0.0090%The term ‘unrealistically small’ in the point above refers to outlier isochrones with a significantly smaller area when compared with both their neighbouring Output/Small Areas and the entire regional distribution. These reflect a very small fraction of circumstances whereby the isochrone extent was impacted by the centroid location and/or how Open Trip Planner handled them (e.g. remote location, private roads and/or no means of traversing the land). Analysis showed these outliers were consistently below 100 hectares for 60-minute isochrones. Therefore, In these cases, the isochrone point of origin was adjusted to the nearest node or stop, as outlined above.During the quality assurance checks, the extent of the isochrones was observed to be in good agreement with other routing software and within the limitations stated within this section. Additionally, the use of nearest node, nearest stop, and correction of ‘unrealistically small areas’ was implemented in a small fraction of cases only. This culminates in no data being available for 8 out of 239,768 Output/Small Areas.Data is only available in ESRI shape file format (.zip) at this release.https://www.openstreetmap.org/copyright

  7. o

    Data from: An historical account of Mr. Rogers's three years travels over...

    • llds.phon.ox.ac.uk
    Updated Apr 11, 2024
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    James Brome; D. J. (2024). An historical account of Mr. Rogers's three years travels over England and Wales giving a true and exact description of all the chiefest cities, towns and corporations in England, Dominion of Wales, and town of Berwick upon Twede : together with the antiquities, and places of admiration, cathedrals, churches of note in any city, town or place in each county, the gentleman above-mentioned having made it his whole business (during the aforesaid time) to compleat the same in his travelling, : to which is annexed a new map of England and Wales, with the adjacent parts, containing all the cities and market towns bound in just before the title. [Dataset]. https://llds.phon.ox.ac.uk/llds/xmlui/handle/20.500.14106/A29627
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    Dataset updated
    Apr 11, 2024
    Authors
    James Brome; D. J.
    License

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

    Area covered
    Berwick-upon-Tweed, Wales, England
    Description

    (:unav)...........................................

  8. App usage on holiday in the UK in 2015, by gender

    • statista.com
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    Statista, App usage on holiday in the UK in 2015, by gender [Dataset]. https://www.statista.com/statistics/462555/usage-of-apps-while-on-holiday-by-gender-uk/
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    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    United Kingdom
    Description

    This statistic presents the usage of apps while on holiday in the United Kingdom (UK) in 2015, by gender. The usage of map apps was more prevalent among men than women (over half of male respondents), while the usage of communications apps was higher among women (** percent of female repondents).

  9. u

    Accessibility To Cities 2015

    • datacore-gn.unepgrid.ch
    Updated May 16, 2018
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    Malaria Atlas Project, University of Oxford. Director of Global Malaria Epidemiology (2018). Accessibility To Cities 2015 [Dataset]. https://datacore-gn.unepgrid.ch/geonetwork/srv/api/records/dd9da394-1f82-423a-a290-24744ba79a78
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    ogc:wms-1.3.0-http-get-map, www:link-1.0-http--linkAvailable download formats
    Dataset updated
    May 16, 2018
    Dataset provided by
    UNEP-GRID Geneva
    Authors
    Malaria Atlas Project, University of Oxford. Director of Global Malaria Epidemiology
    Area covered
    Description

    This global accessibility map enumerates land-based travel time to the nearest densely-populated area for all areas between 85 degrees north and 60 degrees south for a nominal year 2015. Densely-populated areas are defined as contiguous areas with 1,500 or more inhabitants per square kilometre or a majority of built-up land cover types coincident with a population centre of at least 50,000 inhabitants. This map was produced through a collaboration between MAP (University of Oxford), Google, the European Union Joint Research Centre (JRC), and the University of Twente, Netherlands.The underlying datasets used to produce the map include roads (comprising the first ever global-scale use of Open Street Map and Google roads datasets), railways, rivers, lakes, oceans, topographic conditions (slope and elevation), landcover types, and national borders. These datasets were each allocated a speed or speeds of travel in terms of time to cross each pixel of that type. The datasets were then combined to produce a "friction surface"; a map where every pixel is allocated a nominal overall speed of travel based on the types occurring within that pixel. Least-cost-path algorithms (running in Google Earth Engine and, for high-latitude areas, in R) were used in conjunction with this friction surface to calculate the time of travel from all locations to the nearest (in time) city. The cities dataset used is the high-density-cover product created by the Global Human Settlement Project. Each pixel in the resultant accessibility map thus represents the modelled shortest time from that location to a city. Authors: D.J. Weiss, A. Nelson, H.S. Gibson, W. Temperley, S. Peedell, A. Lieber, M. Hancher, E. Poyart, S. Belchior, N. Fullman, B. Mappin, U. Dalrymple, J. Rozier, T.C.D. Lucas, R.E. Howes, L.S. Tusting, S.Y. Kang, E. Cameron, D. Bisanzio, K.E. Battle, S. Bhatt, and P.W. Gething. A global map of travel time to cities to assess inequalities in accessibility in 2015. (2018). Nature. doi:10.1038/nature25181

    Processing notes: Data were processed from numerous sources including OpenStreetMap, Google Maps, Land Cover mapping, and others, to generate a global friction surface of average land-based travel speed. This accessibility surface was then derived from that friction surface via a least-cost-path algorithm finding at each location the closest point from global databases of population centres and densely-populated areas. Please see the associated publication for full details of the processing.

    Source: https://map.ox.ac.uk/research-project/accessibility_to_cities/

  10. App usage limitation during holiday travels in the UK in 2015

    • statista.com
    Updated Dec 15, 2020
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    Statista (2020). App usage limitation during holiday travels in the UK in 2015 [Dataset]. https://www.statista.com/statistics/462551/apps-limited-in-use-while-on-holiday-in-the-united-kingdom/
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    Dataset updated
    Dec 15, 2020
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    United Kingdom
    Description

    This statistic presents the apps limited in use while on holiday in the United Kingdom (UK) in 2015. ** percent of respondents reported limited usage of map apps while on holiday, and ** percent reported using photo apps less on holiday.

  11. g

    Library visits

    • gimi9.com
    • data.wu.ac.at
    Updated Jun 12, 2013
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    (2013). Library visits [Dataset]. https://gimi9.com/dataset/eu_library-visits/
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    Dataset updated
    Jun 12, 2013
    Description

    Libraries play a vital role in bringing together communities and providing a vital social outpost for visitors and residents. This dataset shows the total annual visitor numbers for libraries around Leeds. Services provided by Leeds central library ------------------------------------------ * http://www.leeds.gov.uk/leisure/Pages/Central-library.aspx Google maps tour ---------------- * https://maps.google.co.uk/maps?q=leeds+central+library+tour * Follow link then click on the photo to move around the library A full range of services can be found here ------------------------------------------ * http://www.leeds.gov.uk/leisure/Pages/Libraries.aspx

  12. Areas of Outstanding Natural Beauty (England)

    • data.catchmentbasedapproach.org
    • hamhanding-dcdev.opendata.arcgis.com
    • +5more
    Updated Jan 19, 2017
    + more versions
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    Defra group ArcGIS Online organisation (2017). Areas of Outstanding Natural Beauty (England) [Dataset]. https://data.catchmentbasedapproach.org/datasets/6f2ad07d91304ad79cdecd52489d5046
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    Dataset updated
    Jan 19, 2017
    Dataset provided by
    Defra - Department for Environment Food and Rural Affairshttp://defra.gov.uk/
    Authors
    Defra group ArcGIS Online organisation
    Area covered
    Description

    Areas of Outstanding Natural Beauty (AONBs) are designated areas where protection is afforded to protect and manage the areas for visitors and local residents. AONBs are also known as National Landscapes.Under the Countryside and Rights of Way Act 2000, Natural England has the power to designate AONBs in England that are outside national parks and that are considered to have such natural beauty it is desirable they are conserved and enhanced; issue a variation order to change an existing AONB boundary. It also holds a duty to give advice on developments taking place in an AONB; take into account the conservation and enhancement of AONBs in its work.National Landscapes are living places. Area of Outstanding Natural Beauty is not a nature designation, and caring for the natural beauty of these places involves more than habitat restoration.There are 46 National Landscapes in the UK. These are places with national importance, protected for the nation's benefit, but cared for by local teams with a deep understanding of the distinctive web of interconnecting factors that make these places special.The physical geography in a National Landscape: the unique combination of landform, climate and geology determines which species thrive, which industries grow, and therefore the heritage, language and culture of the individual place.For more information visit https://national-landscapes.org.uk/.Full metadata can be viewed on data.gov.uk.

  13. S

    Google Maps Statistics 2025: Navigation, Business Integration, and More

    • sqmagazine.co.uk
    Updated Oct 1, 2025
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    SQ Magazine (2025). Google Maps Statistics 2025: Navigation, Business Integration, and More [Dataset]. https://sqmagazine.co.uk/google-maps-statistics/
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    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    SQ Magazine
    License

    https://sqmagazine.co.uk/privacy-policy/https://sqmagazine.co.uk/privacy-policy/

    Time period covered
    Jan 1, 2024 - Dec 31, 2025
    Area covered
    Global
    Description

    It’s a crisp fall morning in Portland. A local barista opens her shop and pulls out her phone to check delivery routes for fresh beans. She taps the familiar red-and-white pin icon, Google Maps. Across the globe in Tokyo, a student uses Street View to navigate to his university. Meanwhile,...

  14. d

    Brownfield land

    • planning.data.gov.uk
    Updated Dec 1, 2025
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    Ministry of Housing, Communities and Local Government (2025). Brownfield land [Dataset]. https://www.planning.data.gov.uk/dataset/brownfield-land
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    application/geo+json, json, csvAvailable download formats
    Dataset updated
    Dec 1, 2025
    Dataset authored and provided by
    Ministry of Housing, Communities and Local Government
    License

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

    Description

    This dataset contains a register of Brownfield land sites in England that are suitable to be added to the Brownfield land register. Each site references the following categories: ownership-status planning-permission-status planning-permission-type site-category It can be used for: informing planning policies identifying suitable sites for residential and other development encouraging private investment accelerating housing construction by providing clear, publicly available information on previously developed land with development potential

  15. b

    Kenya Tourist Guide Map

    • hosted-metadata.bgs.ac.uk
    jpg
    Updated 2005
    + more versions
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    Ministry of Petroleum and Mining (National Geodata Centre for Kenya) (2005). Kenya Tourist Guide Map [Dataset]. https://hosted-metadata.bgs.ac.uk/geonetwork/srv/api/records/1f283250-9e25-4db2-9d6a-8aaec475a178
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    jpgAvailable download formats
    Dataset updated
    2005
    Dataset provided by
    Ministry of Petroleum and Mining (National Geodata Centre for Kenya)
    Area covered
    Kenya
    Description

    Kenya Tourist Guide Map

  16. 1940-1947 Bartholomew historic map

    • hub.arcgis.com
    Updated Apr 26, 2018
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    Esri UK Education (2018). 1940-1947 Bartholomew historic map [Dataset]. https://hub.arcgis.com/maps/EsriUkeducation::1940-1947-bartholomew-historic-map/about
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    Dataset updated
    Apr 26, 2018
    Dataset provided by
    Esrihttp://esri.com/
    Authors
    Esri UK Education
    Area covered
    Description

    Colourful and easy to use, Bartholomew’s maps became a trademark series. The maps were popular and influential, especially for recreation, and the series sold well, particularly with cyclists and tourists. To begin with, Bartholomew printed their half-inch maps in Scotland as stand-alone sheets known as 'District Sheets' and by 1886 the whole of Scotland was covered. They then revised the maps into an ordered set of 29 sheets covering Scotland in a regular format. This was first published under the title Bartholomew’s Reduced Ordnance Survey of Scotland. The half-inch maps of Scotland formed the principal content for Bartholomew's Survey Atlas of Scotland published in 1895. Bartholomew then moved south of the Border to the more lucrative but competitive market in England and Wales, whilst continuing to revise the Scottish sheets. This Bartholomew series at half-inch to the mile, covered Great Britain in 62 sheets in the 1940s, Bartholomew’s first to cover Great Britain at this scale (their previous series covering Scotland and then England and Wales). The series provides an attractive and useful snapshot of 1940s Britain. By this time, Bartholomew had altered the range of information on their maps compared to the 1900s. There were more categories of roads, Ministry of Transport road numbers were added, and new recreational features such as Youth Hostels and Golf Courses. Bartholomew’s topographic information was gathered partly from original Ordnance Survey maps, and partly from information sent in to Bartholomew from map users. One important user community for Bartholomew were cyclists. From the 1890s, Bartholomew entered into a formal relationship with the Cyclists’ Touring Club, then numbering around 60,500 cyclists, proposing that club members supplied Bartholomew with up-to-date information. In return, Bartholomew provided the CTC with discounted half-inch maps. The relationship worked very well, turning CTC members into an unofficial surveying army, feeding back reliable and accurate topographical information which Bartholomew would then use to update their maps. You can read more about this and see selected letters from cyclists at: http://digital.nls.uk/bartholomew/duncan-street-explorer/cyclists-touring-club.html.

    Usually Bartholomew made revisions the sheets right up to the time of publication, so the date of publication is the best guide to the approximate date of the features shown on the map. You can view the dates of publication for the series at: https://maps.nls.uk/series/bart_half_great_britain.html

  17. a

    UK Travel Area Isochrones (Nov/Dec 2022) by Public Transport and Walking for...

    • arc-gis-hub-home-arcgishub.hub.arcgis.com
    • geoportal.statistics.gov.uk
    • +2more
    Updated Jan 16, 2023
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    Office for National Statistics (2023). UK Travel Area Isochrones (Nov/Dec 2022) by Public Transport and Walking for West Scotland North - Generalised to 10m [Dataset]. https://arc-gis-hub-home-arcgishub.hub.arcgis.com/maps/ons::uk-travel-area-isochrones-nov-dec-2022-by-public-transport-and-walking-for-west-scotland-north-generalised-to-10m
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    Dataset updated
    Jan 16, 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

    This data is experimental, see the ‘Access Constraints or User Limitations’ section for more details. This dataset has been generalised to 10 metre resolution where it is still but the space needed for downloads will be improved.A set of UK wide estimated travel area geometries (isochrones), from Output Area (across England, Scotland, and Wales) and Small Area (across Northern Ireland) population-weighted centroids. The modes used in the isochrone calculations are limited to public transport and walking. Generated using Open Trip Planner routing software in combination with Open Street Maps and open public transport schedule data (UK and Ireland).The geometries provide an estimate of reachable areas by public transport and on foot between 7:15am and 9:15am for a range of maximum travel durations (15, 30, 45 and 60 minutes). For England, Scotland and Wales, these estimates were generated using public transport schedule data for Tuesday 15th November 2022. For Northern Ireland, the date used is Tuesday 6th December 2022.The data is made available as a set of ESRI shape files, in .zip format. This corresponds to a total of 18 files; one for Northern Ireland, one for Wales, twelve for England (one per English region, where London, South East and North West have been split into two files each) and four for Scotland (one per NUTS2 region, where the ‘North-East’ and ‘Highlands and Islands’ have been combined into one shape file, and South West Scotland has been split into two files).The shape files contain the following attributes. For further details, see the ‘Access Constraints or User Limitations’ section:AttributeDescriptionOA21CD or SA2011 or OA11CDEngland and Wales: The 2021 Output Area code.Northern Ireland: The 2011 Small Area code.Scotland: The 2011 Output Area code.centre_latThe population-weighted centroid latitude.centre_lonThe population-weighted centroid longitude.node_latThe latitude of the nearest Open Street Map “highway” node to the population-weighted centroid.node_lonThe longitude of the nearest Open Street Map “highway” node to the population-weighted centroid.node_distThe distance, in meters, between the population-weighted centroid and the nearest Open Street Map “highway” node.stop_latThe latitude of the nearest public transport stop to the population-weighted centroid.stop_lonThe longitude of the nearest public transport stop to the population-weighted centroid.stop_distThe distance, in metres, between the population-weighted centroid and the nearest public transport stop.centre_inBinary value (0 or 1), where 1 signifies the population-weighted centroid lies within the Output Area/Small Area boundary. 0 indicates the population-weighted centroid lies outside the boundary.node_inBinary value (0 or 1), where 1 signifies the nearest Open Street Map “highway” node lies within the Output Area/Small Area boundary. 0 indicates the nearest Open Street Map node lies outside the boundary.stop_inBinary value (0 or 1), where 1 signifies the nearest public transport stop lies within the Output Area/Small Area boundary. 0 indicates the nearest transport stop lies outside the boundary.iso_cutoffThe maximum travel time, in seconds, to construct the reachable area/isochrone. Values are either 900, 1800, 2700, or 3600 which correspond to 15, 30, 45, and 60 minute limits respectively.iso_dateThe date for which the isochrones were estimated, in YYYY-MM-DD format.iso_typeThe start point from which the estimated isochrone was calculated. Valid values are:from_centroid: calculated using population weighted centroid.from_node: calculated using the nearest Open Street Map “highway” node.from_stop: calculated using the nearest public transport stop.no_trip_found: no isochrone was calculated.geometryThe isochrone geometry.iso_hectarThe area of the isochrone, in hectares.Access constraints or user limitations.These data are experimental and will potentially have a wider degree of uncertainty. They remain subject to testing of quality, volatility, and ability to meet user needs. The methodologies used to generate them are still subject to modification and further evaluation.These experimental data have been published with specific caveats outlined in this section. The data are shared with the analytical community with the purpose of benefitting from the community's scrutiny and in improving the quality and demand of potential future releases. There may be potential modification following user feedback on both its quality and suitability.For England and Wales, where possible, the latest census 2021 Output Area population weighted centroids were used as the starting point from which isochrones were calculated.For Northern Ireland, 2011 Small Area population weighted centroids were used as the starting point from which isochrones were calculated. Small Areas and Output Areas contain a similar number of households within their boundaries. 2011 data was used because this was the most up-to-date data available at the time of generating this dataset. Population weighted centroids for Northern Ireland were calculated internally but may be subject to change - in the future we aim to update these data to be consistent with Census 2021 across the UK.For Scotland, 2011 Output Area population-weighted centroids were used as the starting point from which isochrones were calculated. 2011 data was used because this was the most up-to-date data available at the time of work.The data for England, Scotland and Wales are released with the projection EPSG:27700 (British National Grid).The data for Northern Ireland are released with the projection EPSG:29902 (Irish Grid).The modes used in the isochrone calculations are limited to public transport and walking. Other modes were not considered when generating this data.A maximum value of 1.5 kilometres walking distance was used when generating isochrones. This approximately represents typical walking distances during a commute (based on Department for Transport/Labour Force Survey data and Travel Survey for Northern Ireland technical reports).When generating Northern Ireland data, public transport schedule data for both Northern Ireland and Republic of Ireland were used.Isochrone geometries and calculated areas are subject to public transport schedule data accuracy, Open Trip Planner routing methods and Open Street Map accuracy. The location of the population-weighted centroid can also influence the validity of the isochrones, when this falls on land which is not possible or is difficult to traverse (e.g., private land and very remote locations).The Northern Ireland public transport data were collated from several files, and as such required additional pre-processing. Location data are missing for two bus stops. Some services run by local public transport providers may also be missing. However, the missing data should have limited impact on the isochrone output. Due to the availability of Northern Ireland public transport data, the isochrones for Northern Ireland were calculated on a comparable but slight later date of 6th December 2022. Any potential future releases are likely to contained aligned dates between all four regions of the UK.In cases where isochrones are not calculable from the population-weighted centroid, or when the calculated isochrones are unrealistically small, the nearest Open Street Map ‘highway’ node is used as an alternative starting point. If this then fails to yield a result, the nearest public transport stop is used as the isochrone origin. If this also fails to yield a result, the geometry will be ‘None’ and the ‘iso_hectar’ will be set to zero. The following information shows a further breakdown of the isochrone types for the UK as a whole:from_centroid: 99.8844%from_node: 0.0332%from_stop: 0.0734%no_trip_found: 0.0090%The term ‘unrealistically small’ in the point above refers to outlier isochrones with a significantly smaller area when compared with both their neighbouring Output/Small Areas and the entire regional distribution. These reflect a very small fraction of circumstances whereby the isochrone extent was impacted by the centroid location and/or how Open Trip Planner handled them (e.g. remote location, private roads and/or no means of traversing the land). Analysis showed these outliers were consistently below 100 hectares for 60-minute isochrones. Therefore, In these cases, the isochrone point of origin was adjusted to the nearest node or stop, as outlined above.During the quality assurance checks, the extent of the isochrones was observed to be in good agreement with other routing software and within the limitations stated within this section. Additionally, the use of nearest node, nearest stop, and correction of ‘unrealistically small areas’ was implemented in a small fraction of cases only. This culminates in no data being available for 8 out of 239,768 Output/Small Areas.Data is only available in ESRI shape file format (.zip) at this release.https://www.openstreetmap.org/copyright

  18. l

    Tree Trails - Abbey Park

    • data.leicester.gov.uk
    csv, excel, geojson +1
    Updated May 12, 2023
    + more versions
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    (2023). Tree Trails - Abbey Park [Dataset]. https://data.leicester.gov.uk/explore/dataset/tree-trails/
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    csv, excel, json, geojsonAvailable download formats
    Dataset updated
    May 12, 2023
    License

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

    Description

    The Abbey Park tree trail allows visitors to have a leisurely walk and find out interesting facts about many of the magnificent trees that reside within the park.The 21 trees are all marked with small round numbered metal tags.This dataset contains a table of tree details, images of the trees and maps and is best used with a mobile device where location services can be used to follow the tree trail. For users who wish to print out a map of the locations of the trees it is suggested to use the "Categorised Map" tab within the dataset for this purpose by using the snipping tool on a full screen view of the map.

    To download the table of data regarding the trees use the export "Export" tab to download the data into a printable spreadsheet format by using the Excel format option.

  19. Places to Visit in Causeway Coast and Glens - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Jun 22, 2018
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    ckan.publishing.service.gov.uk (2018). Places to Visit in Causeway Coast and Glens - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/places-to-visit-in-causeway-coast-and-glens
    Explore at:
    Dataset updated
    Jun 22, 2018
    Dataset provided by
    CKANhttps://ckan.org/
    License

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

    Area covered
    Causeway Coast and Glens
    Description

    The Causeway Coast and Glens is an area of breathtaking beauty where the rugged coastline merges with a romantic landscape of deep, silent glens and lust forest parks and boasts three Areas of Outstanding Natural Beauty. It is a must see destination whether you're a local or come from further afield. The area features picturesque rural and fishing villages, bustling seaside resorts, golden, Blue Flag beaches and Northern Ireland's only UNESCO World Heritage Site at the Giant's Causeway. The Causeway Coast and Glens promises a warm welcome for visitors and an unforgettable experience.This story map showcases the most popular visitor attractions within Causeway Coast and Glens.To find out more visit - www.visitcausewaycoastandglens.com/

  20. Tree Trails - Humberstone Park - Dataset - data.gov.uk

    • ckan.publishing.service.gov.uk
    Updated Apr 6, 2023
    + more versions
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    ckan.publishing.service.gov.uk (2023). Tree Trails - Humberstone Park - Dataset - data.gov.uk [Dataset]. https://ckan.publishing.service.gov.uk/dataset/tree-trails-humberstone-park
    Explore at:
    Dataset updated
    Apr 6, 2023
    Dataset provided by
    CKANhttps://ckan.org/
    Description

    The Humberstone Park tree trail allows visitors to have a leisurely walk and find out interesting facts about many of the magnificent trees that reside within the park.The 22 trees are all marked with small round numbered metal tags.This dataset contains a table of tree details, images of the trees and maps. For users who wish to print out a map of the locations of the trees it is suggested to use the "Categorised Map" tab within the dataset for this purpose, accompanied by the table which can be downloaded via the "Export" tab.

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British Geological Survey (2000). Map based index (GeoIndex) county maps 6inch [Dataset]. https://metadata.bgs.ac.uk/geonetwork/srv/api/records/9df8df53-2a9d-37a8-e044-0003ba9b0d98
Organization logo

Map based index (GeoIndex) county maps 6inch

Explore at:
ogc:wms, www:link-1.0-http--link, ogc:wms-1.3.0-http-get-capabilitiesAvailable download formats
Dataset updated
2000
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

Area covered
Description

The index shows the availability of county series geological maps, 1:10560 scale. The maps themselves were produced on OS County Series sheets between approximately 1860 and 1960. The list indicates whether the map has been revised or re-surveyed and gives details of any later versions that have been produced. It is advisable to discuss your requirements before ordering or travelling to view these maps.

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