A collection of 1:250 000 scale geophysical maps in the Universal Transverse Mercator (UTM) projection, covering the United Kingdom and continental shelf areas between 1975 – 1990. Mapping is divided into squares which cover 1 degree by 1 degree of latitude / longitude. A geophysical map is a graphical representation of data collected through various geophysical methods to investigate the subsurface characteristics of the Earth. Geophysics is the study of the physical properties and processes of the Earth using measurements of physical quantities such as gravity, magnetic fields, seismic waves, electrical resistivity, and others. The collection includes aeromagnetic anomaly maps (1975 – 1990), Bouguer gravity anomaly maps (1975 – 1989) and a small number of free air anomaly maps (1981 – 1989). These maps are hard-copy paper records stored in the National Geoscience Data Centre (NGDC) and are delivered as digital scans through the BGS website.

The UKSeaMap Predictive Habitats Map 2025 (version 1) is a broad-scale prediction that uses physical models of depth, light, sediment and energy to predict the physical seabed habitats for the whole UK seabed. This map covers the UK extended Continental Shelf as defined by the Continental Shelf (Designation of Areas) Order 2013, but excluding the intertidal zone, Dee Estuary and Morecambe Bay.

Two habitat classification systems are present in the final output:

EUNIS habitat classification system version 2007-11 The Marine Habitat Classification for Britain and Ireland (https://mhc.jncc.gov.uk/) version 22.04 The attribute table includes a column for each of level 2, level 3 and level 4 of each of these two classification schemes. In some cases, there were 2-3 options of habitat type, which were both included and separated by the word “OR“. There is also a column containing the most detailed unique habitat type for each of the two classification systems.

The habitats were determined by combining 4 categorical input layers called 'habitat descriptors', which are the basis for describing physical habitats in the Marine Habitat Classification for Britain and Ireland. These are also present in the geodatabase.

Habitat descriptor data layers:

Seabed substrate type - created using the British Geological Survey's national broad-scale predictive sediment map - Marchant et al. (2025) and the JNCC-BGS-Cefas national broad-scale predictive rock map (JNCC, 2019) Biological zone (also known as biozone) - created using the depth to seabed, wave disturbance at the seabed and amount of light reaching the seabed. Kinetic energy at the seabed - created using energy from tidal currents and energy from waves Salinity regime - created using the Annex I Habitats Regulations datasets for coastal lagoons and estuaries features A methods report will be published in due course.

The UKSeaMap Predictive Map forms part of the UK Atlas of Seabed Habitats (UKASH), a suite of mapping products, offering the most complete characterisation of seabed habitats in the UK in the Marine Habitat Classification for Britain and Ireland and the European standard classification system, EUNIS. UKASH is composed of:

UKASH Library of Localised Maps: A standardised collection of individual, ground-truthed habitat maps from various sources. UKASH Mosaic of Localised Maps: A unified, non-overlapping map product that prioritises the most reliable maps from the UKASH Library of Localised Maps. UKSeaMap Predictive Map: A seamless, full-coverage predictive map of physical seabed habitats in the UK. UKASH Combined Map: The UKASH Mosaic of Localised Maps, with gaps filled by the UKSeaMap Predictive Map.

Further info: https://jncc.gov.uk/our-work/uk-atlas-of-seabed-habitats-ukash/#ukseamap

Land Cover Map 2021 (LCM2021) is a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2021. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2021. Land cover maps describe the physical material on the surface of the country. For example grassland, woodland, rivers & lakes or man-made structures such as roads and buildingsThis is a 10 m Classified Pixel dataset, classified to create a single mosaic of national cover. Provenance and quality:UKCEH’s automated land cover classification algorithms generated the 10m classified pixels. Training data were automatically selected from stable land covers over the interval of 2017 to 2019. A Random Forest classifier used these to classify four composite images representing per season median surface reflectance. Seasonal images were integrated with context layers (e.g., height, aspect, slope, coastal proximity, urban proximity and so forth) to reduce confusion among classes with similar spectra.Land cover was validated by organising the pixel classification into a land parcel framework (the LCM2021 Classified Land Parcels product). The classified land parcels were compared to known land cover producing confusion matrix to determine overall and per class accuracy.View full metadata information and download the data at catalogue.ceh.ac.uk

This dataset comprises 2 collections of maps. The facsmile collection contains all the marginalia information from the original map as well as the map itself, while the georectified collection contains just the map with an associated index for locating them. Each collection comprises approximately 101 000 monochrome images at 6-inch (1:10560) scale. Each image is supplied in .tiff format with appropriate ArcView and MapInfo world files, and shows the topography for all areas of England, Wales and Scotland as either quarter or, in some cases, full sheets. The images will cover the approximate epochs 1880's, 1900's, 1910's, 1920's and 1930's, but note that coverage is not countrywide for each epoch. The data was purchased by BGS from Sitescope, who obtained it from three sources - Royal Geographical Society, Trinity College Dublin and the Ordnance Survey. The data is for internal use by BGS staff on projects, and is available via a customised application created for the network GDI enabling users to search for and load the maps of their choice. The dataset will have many uses across all the geoscientific disciplines across which BGS operates, and should be viewed as a valuable addition to the BGS archive. There has been a considerable amount of work done during 2005, 2006 and 2007 to improve the accuracy of the OS Historic Map Collection. All maps should now be located to +- 50m or better. This is the best that can be achieved cost effectively. There are a number of reasons why the maps are inaccurate. Firstly, the original maps are paper and many are over 100 years old. They have not been stored in perfect condition. The paper has become distorted to varying degrees over time. The maps were therefore not accurate before scanning. Secondly, different generations of maps will have used different surveying methods and different spatial referencing systems. The same geographical object will not necessarily be in the same spatial location on subsequent editions. Thirdly, we are discussing maps, not plans. There will be cartographic generalisations which will affect the spatial representation and location of geographic objects. Finally, the georectification was not done in BGS but by the company from whom we purchased the maps. The company no longer exists. We do not know the methodology used for georectification.

This is the land parcels (polygon) dataset for the UKCEH Land Cover Map of 2018(LCM2018) representing Northern Ireland. It describes Northern Ireland's land cover in 2018 using UKCEH Land Cover Classes, which are based on UK Biodiversity Action Plan broad habitats. This dataset was derived from the corresponding LCM2018 20m classified pixels dataset. All further LCM2018 datasets for Northern Ireland are derived from this land parcel product. A range of land parcel attributes are provided. These include the dominant UKCEH Land Cover Class given as an integer value, and a range of per-parcel pixel statistics to help to assess classification confidence and accuracy; for a full explanation please refer to the dataset documentation. LCM2018 represents a suite of geospatial land cover datasets (raster and polygon) describing the UK land surface in 2018. These were produced at the UK Centre for Ecology & Hydrology by classifying satellite images from 2018. LCM2018 was simultaneously released with LCM2017 and LCM2019. These are the latest in a series of UKCEH land cover maps, which began with the 1990 Land Cover Map of Great Britain (now usually referred to as LCM1990) followed by UK-wide land cover maps LCM2000, LCM2007 and LCM2015. This work was supported by the Natural Environment Research Council award number NE/R016429/1 as part of the UK-SCAPE programme delivering National Capability. Full details about this dataset can be found at https://doi.org/10.5285/35f15502-d340-4ab5-a586-abd42f238b6e

It is still unknown which factors of physical activity behaviour (PAB) may be effective and how they may influence PAB in UK children. The objective of the current study was to generate a conceptual analysis of the factors of PAB in UK children (5-12 years) using the input of researchers in the field of physical activity (PA experts; PAE) and researchers in other fields (non-PA experts; non-PAE). The concept mapping approach was used to identify potential (new) factors of PAB in children, assess their importance based on rating of potential modifiability and effect, and generate a concept map depicting the associations between them. In the first (brainstorming) stage (n=32 experts) yielded 93 factors, including 14 (new) not identified in previous reviews. In the second (rating and sorting) stage (n=26 experts), 32 factors were rated as important and four-cluster concept map was generated including themes related to Society/community, Home/social setting, Personal/social setting, and Psychological/emotional factors. Two additional concept maps were generated for PAE and non-PAE. From expert opinion, we identified new factors of PAB that warrant further research and we highlight the need to consider the interaction between intrapersonal and external factors when designing interventions to promote PA in UK children.The data has been downloaded from Ariadne (minds21.org) and includes the raw data and the analysed data (clustering and rating data). Participant information has been removed from the data files and replaced with participant numbers.

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

This layer of the GeoIndex shows the location of available 1:50000 scale digital geological maps within Great Britain. The Digital Geological Map of Great Britain project (DiGMapGB) has prepared 1:625 000, 1:250 000 and 1:50 000 scale datasets for England, Wales and Scotland. The datasets themselves are available as vector data in a variety of formats in which they are structured into themes primarily for use in geographical information systems (GIS) where they can be integrated with other types of spatial data for analysis and problem solving in many earth-science-related issues. Most of the 1:50 000 scale geological maps for England & Wales and for Scotland are now available digitally as part of the DiGMapGB-50 dataset. It integrates geological information from a variety of sources. These include recent digital maps, older 'paper only' maps, and desk compilations for sheets with no published maps.

This is a digital map containing polygons representing areas of vegetation within Roudsea Wood National Nature Reserve (NNR), Cumbria. Vegetation was mapped in the field on a basemap as parcels according to tree cover type, tree stocking rates and ground flora communities. The map covers the western side of the reserve (the woodland). The field map was originally created by staff at the Nature Conservancy’s Merlewood Research Station, Grange-over-Sands, Cumbria in 1962 and digitized by the Centre for Ecology & Hydrology from the original field map in 2019. Full details about this dataset can be found at https://doi.org/10.5285/a8d710fb-177d-467c-b2c1-2b215f582d2c

Broadscale habitat confidence for Bassurelle Sandbank SCI (CEND 03/13). MESH confidence score for the newly produced habitat map of Bassurelle Sandbank SCI. The technical quality of the habitat map was assessed using the MESH �Confidence Assessment? Tool, originally developed by an international consortium of marine scientists working on the MESH (Mapping European Seabed Habitats) project. This tool considers the provenance of the data used to make a biotope/habitat map, including the techniques and technology used to characterise the physical and biological environment and the expertise of the people who had made the map. Both physical and biological survey data are required to achieve the top mark of 100, but as the current assessment process requiredthe mapping of only physical habitats, not biotopes, it excludedbiological data. In the absence of biological data, the maximum score attainable for a perfect physical map is 82. This map attained a score of 79. In applying the tool to the current work, none of the weighting options were altered; that is, the tool was applied in its standard form, as downloaded from the internet. (http://www.searchmesh.net/default.aspx?page=1635).

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.

This dataset contains gridded human population with a spatial resolution of 1 km x 1 km for the UK based on Census 2021 (Census 2022 for Scotland) and Land Cover Map 2021 input data. Data on population distribution for the United Kingdom is available from statistical offices in England, Wales, Northern Ireland and Scotland and provided to the public e.g. via the Office for National Statistics (ONS). Population data is typically provided in tabular form or, based on a range of different geographical units, in file types for geographical information systems (GIS), for instance as ESRI Shapefiles. The geographical units reflect administrative boundaries at different levels of detail, from Devolved Administration to Output Areas (OA), wards or intermediate geographies. While the presentation of data on the level of these geographical units is useful for statistical purposes, accounting for spatial variability for instance of environmental determinants of public health requires a more spatially homogeneous population distribution. For this purpose, the dataset presented here combines 2021/2022 UK Census population data on Output Area level with Land Cover Map 2021 land-use classes 'urban' and 'suburban' to create a consistent and comprehensive gridded population data product at 1 km x 1 km spatial resolution. The mapping product is based on British National Grid (OSGB36 datum). Full details about this dataset can be found at https://doi.org/10.5285/7beefde9-c520-4ddf-897a-0167e8918595

To represent the planet Earth as both maps and globes, both digitally (on a computer screen) and physically (as paper maps or globes) means making compromises.

Supplementary information files for article: 'The future scope of large-scale solar in the UK: site suitability and target analysis'.Abstract:This paper uses site suitability analysis to identify locations for solar farms in the UK to help meet climate change targets. A set of maps, each representing a given suitability criterion, is created with geographical information systems (GIS) software. These are combined to give a Boolean map of areas which are appropriate for large-scale solar farm installation. Several scenarios are investigated by varying the criteria, which include geographical (land use) factors, solar energy resource and electrical distribution network constraints. Some are dictated by the physical and technical requirements of large-scale solar construction, and some by government or distribution network operator (DNO) policy. It is found that any suitability map which does not heed planning permission and grid constraints will overstate potential solar farm area by up to 97%. This research finds sufficient suitable land to meet Future Energy Scenarios (UK National Grid outlines for the coming energy landscape).

UKSeaMap 2018V2 is a broad-scale physical habitat map for UK waters. It is a by-product of the 2013-2016 activities of the EMODnet Seabed Habitats 2013–2016 consortium. This dataset contains two products: a roughly 100 m* resolution broad-scale predictive seabed habitat map in geodatabase format, and a set of confidence maps in GeoTIFF format. The data has been clipped to cover the current extent of the UK continental shelf. *3 arc second = 93 m latitudinally by between 44 m (north) and 53 m (south) longitudinally Classification system: EUNIS habitat classification system, with additional deep sea zones MSFD Benthic Broad Habitat Types The Marine Habitat Classification for Britain and Ireland (https://mhc.jncc.gov.uk/) Input data layers: Seabed substrate type Depth to the seabed Amount of light reaching the seabed

In some cases, a full-coverage map displaying the best available data everywhere at the expense of consistency is required. The production of such a product showing EUNIS level 3 habitats requires integrating EUNIS level 3 seabed habitat data from fine and broad-scale habitat maps. The product aims to create a complete map that presents the best available information on the distribution of EUNIS level 3 habitats at any locations in UK waters. This data product is required for, among other things, assessments of progress towards networks of marine protected areas (MPAs) and marine spatial planning in the UK.

The aim was to produce a single map layer displaying the best quality EUNIS level 3 data for any given location. Furthermore, the process for producing the layer needed to be:

• Repeatable; • Transparent; • Easy to explain and understand; • Objective; • Fully documented; • Appropriate for EUNIS level 3 habitats; and, • Appropriate for the UK intertidal and subtidal areas

Any location would show only a single value describing the habitat at EUNIS level 3, i.e. no overlapping polygons leading to multiple possible values at a location. The data at any location should be the best available to describe the EUNIS level 3 habitat type (i.e. the most likely to be correct). EUNIS level 3 habitats (Appendix 1) describe physical habitats classified using biologically meaningful parameters – substrate type, and additionally for rock: energy and biological zone. Therefore, a method was created to choose data based on their ability to describe these physical variables.

Supplementary Information files for Increasing physical activity levels following treatment for cervical cancer: an intervention mapping approachPurpose The purpose of this study was to utilise the intervention mapping (IM) protocol as a framework with which to develop an intervention underpinned by relevant behaviour change theory to promote physical activity (PA) following treatment for cervical cancer. Methods The six steps of the IM protocol were followed. A qualitative semi-structured interview study and a rapid review of the literature were conducted along with the development of a logic model of the problem and a logic model of change to inform intervention development. Results An intervention was developed which aims to increase PA levels following treatment for cervical cancer, tailored to address key findings from the IM needs assessment. These include embedding behavioural and social strategies that help participants to overcome perceived barriers to PA participation; goal setting strategies to gradually increase PA levels with a view of reaching relevant PA guidelines for cancer survivors and feedback to encourage self-assessment of well-being and PA capability. Conclusion This study maps the development of a novel PA intervention for those who have been treated for cervical cancer. The use of a systematic development framework was necessary as little insight exists regarding PA preferences after treatment for cervical cancer. Implications for Cancer Survivors PA behaviour is associated with positive physical and psychological health outcomes for cancer survivors. Optimising targeted promotion of PA behaviour following treatment for cervical cancer may result in an enhanced survivorship experience through increased PA behaviour and improved quality of life (QOL).

Various data recorded by Historic England relating to aerial investigation and mapping projects. N.B. This is a dynamic dataset that is constantly evolving, not only with the addition of newly completed projects, but also with the reassessment of some earlier projects. See https://historicengland.org.uk/research/methods/airborne-remote-sensing/aerial-investigation/ for further details of Historic England's work with aerial sources.It's currently not possible to provide download access to the earlier hand drawn projects, which are only available as raster files, but these can be viewed via the Aerial Archaeology Mapping Explorer. We aim to create vector monument polygons for these features as the next phase of the project.More information and help with these the layers Detailed MappingThis layer shows the detailed mapping of archaeological features derived from aerial imagery; this includes photographic imagery from many decades taken specifically for archaeological purposes, as well as other photography taken for other reasons and airborne lidar. The data are symbolised initially based on their physical form i.e. cut/negative (e.g. pit, ditch etc) or built/positive (e.g. mound, bank etc) .

    Field name
    Field alias
    Description
    Mandatory Y/N


    LAYER
    LAYER
    The layer used for mapping
    Y


    PROJECT
    PROJECT
    Project name
    Y

    PERIOD
    PERIOD
    The presumed date/period assigned to the feature (terminology from FISH thesaurus)
    Y


    MONUMENT_TYPE
    MONUMENT_TYPE
    The presumed type/function assigned to the feature (terminology from FISH thesaurus)
    Y


    EVIDENCE_1
    EVIDENCE_1
    The primary evidence for the feature e.g. cropmark, earthwork etc (terminology from FISH thesaurus)
    Y


  SOURCE_1
    SOURCE_1
    The primary source for the feature e.g. aerial photo reference, documentary source etc
    Y


  EVIDENCE_2
    EVIDENCE_2
    Where available the latest evidence for the feature e.g. cropmark, earthwork etc (terminology from FISH thesaurus) N.B. This was the latest evidence seen and does not necessarily represent the current status of the feature.
    N


  SOURCE_2
    SOURCE_2
    Where available the latest source for the feature N.B. This was the latest evidence seen and does not necessarily represent the current status of the feature.
    N


    HE_UID
    HE_UID
    Composite of Unique identifier(s) used by Historic England
    Y

    HER_NO
    HER_NO
    Composite of Unique identifier(s) used by Historic Environment Records
    N

    DHEUID_1
    DHEUID_1
    Primary Unique identifier used by Historic England
    Y

    DHEUID_2
    DHEUID_2
    Secondary Unique identifier used by Historic England. Used where a feature may relate to more than one Historic England record
    N

    DHEUID_3 ~ 5
    DHEUID_3 ~ 5
    Additional Unique identifier used by Historic England. Used where a feature may relate to more than one Historic England record
    N


    HE_URL1
    HE_URL1
    URL link to the relevant Historic England record in Heritage Gateway
    Y

    HE_URL2
    HE_URL2
    URL link to the relevant Historic England record in Heritage Gateway
    N

    HE_URL3 ~ 5
    HE_URL3 ~ 5
    URL link to the relevant Historic England record in Heritage Gateway
    N


    DHERNO_1
    DHERNO_1
    Primary unique identifier used by the relevant Historic Environment Record (HER)
    Y


    DHERNO_2
    DHERNO_2
    Secondary unique identifier used by the relevant Historic Environment Record. Used where a feature may relate to more than one HER record
    N


    DHERNO_3 ~ 5
    DHERNO_3 ~ 5
    Tertiary unique identifier used by the relevant Historic Environment Record. Used where a feature may relate to more than one HER record
    N

    DHERPREF_1
    DHERPREF_1
    Primary alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID
    Y

    DHERPREF_2
    DHERPREF_2
    Secondary alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID Used where a feature may relate to more than one HER record
    N

    DHERPREF_3 ~ 5
    DHERPREF_3 ~ 5
    Additional alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID Used where a feature may relate to more than one HER record
    N


    HER_LINK_1
    HER_LINK_1
    URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
    Y


    HER_LINK_2
    HER_LINK_2
    URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
    N


    HER_LINK_3 ~ 5
    HER_LINK_3 ~ 5
    URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
    N

The data are symbolised initially based on their physical form i.e. cut/negative (e.g. pit, ditch etc) or built/positive (e.g. mound, bank etc)

    Layer name
    Colour (Hex)
    Description

Bank #A50026 Used to outline banks, platforms, mounds and spoil heaps.

Ditch #313695 Used to outline cut features such as ditches, ponds, pits or hollow ways.

    Extent of Feature
    #FDAE61 (Dashes)
    Used to depict the extent of large area features such as airfields, military camps, or major extraction.


    Ridge and Furrow Alignment
    #74ADD1
    Line or arrow(s) (hand drawn not a symbol) depicting the direction of the rigs in a block of ridge and furrow.


    Ridge and Furrow Area
    #74ADD1 (Dots)
    Used to outline a block of ridge and furrow .


    Slope
    #4575B4
     The top of the “T” indicates the top of slope and the body indicates the length and direction of the slope. Used to depict scarps, edges of platforms and other large earthworks.

    Structure
    #F46D43
     Used to outline structures including stone, concrete, metal and timber constructions e.g., buildings, Nissen huts, tents, radio masts, camouflaged airfields, wrecks, fish traps, etc.

You can find instructions on how to create a QGIS style file (.qml) to recreate our mapping symbology in QGIS via our Open Data Downloads page under Aerial Investigation Mapping data.Monument ExtentsThis layer shows the general extent of the monuments, created from multiple sources, primarily aerial imagery, but referring to other sources such as earthwork surveys, documentary evidence and any information available from the relevant Historic Environment Record etc. This differs from the 'Detailed Mapping' layer, which shows the individual features as they appear on the ground.

    Field name
    Field alias
    Description
    Mandatory Y/N


    LAYER
    LAYER
    The layer used for mapping
    Y

    HE_UID
    HE_UID
    Composite of Unique identifier(s) used by Historic England
    Y

    HER_NO
    HER_NO
    Composite of Unique identifier(s) used by Historic Environement Records
    N


    HE_UID1
    HE_UID1
    Primary Unique identifier used by Historic England
    Y

    HE_UID2
    HE_UID2
    Secondary Unique identifier used by Historic England. Used where a feature may relate to more than one Historic England record
    N

    HE_UID3 ~ 5
    HE-UID3 ~ 5
    Additional Unique identifier used by Historic England. Used where a feature may relate to more than one Historic England record
    N


    HE_URL1
    HE_URL1
    URL link to the relevant Historic England record in Heritage Gateway
    Y

    HE_URL2
    HE_URL2
    URL link to the relevant Historic England record in Heritage Gateway
    N

    HE_URL3 ~ 5
    HE_URL3 ~ 5
    URL link to the relevant Historic England record in Heritage Gateway
    N


    HERNO_1
    HERNO_1
    Primary unique identifier used by the relevant Historic Environment Record (HER)
    Y


    HERNO_2
    HERNO_2
    Secondary unique identifier used by the relevant Historic Environment Record. Used where a feature may relate to more than one HER record
    N


    HERNO_3 ~ 25
    HERNO_3 ~ 25
    Tertiary unique identifier used by the relevant Historic Environment Record. Used where a feature may relate to more than one HER record
    N

    HERPREF_1
    HERPREF_1
    Primary alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID
    Y

    HERPREF_2
    HERPREF_2
    Secondary alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID Used where a feature may relate to more than one HER record
    N

    HERPREF_3 ~ 25
    HERPREF_3 ~ 25
    Additional alternative unique identifier used by the relevant Historic Environment Record. Some HERs use the same number for both the HER No. and the reference to link to the record; others use different numbers and give them different names e.g MonUID Used where a feature may relate to more than one HER record
    N


    HER_LINK_1
    HER_LINK_1
    URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
    Y


    HER_LINK_2
    HER_LINK_2
    URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
    N


    HER_LINK_3 ~ 25
    HER_LINK_3 ~ 25
    URL link to the relevant Historic Environment Record (HER) record in Heritage Gateway
    N


    PROJECT
    project
    Project name
    Y

Project AreaThis layer shows the extent of the

SafeGraph Places provides baseline information for every record in the SafeGraph product suite via the Places schema and polygon information when applicable via the Geometry schema. The current scope of a place is defined as any location humans can visit with the exception of single-family homes. This definition encompasses a diverse set of places ranging from restaurants, grocery stores, and malls; to parks, hospitals, museums, offices, and industrial parks. Premium sets of Places include apartment buildings, Parking Lots, and Point POIs (such as ATMs or transit stations).

SafeGraph Places is a point of interest (POI) data offering with varying coverage depending on the country. Note that address conventions and formatting vary across countries. SafeGraph has coalesced these fields into the Places schema.

SafeGraph provides clean and accurate geospatial datasets on 51M+ physical places/points of interest (POI) globally. Hundreds of industry leaders like Mapbox, Verizon, Clear Channel, and Esri already rely on SafeGraph POI data to unlock business insights and drive innovation. Easily ingest this data to power your map products today.