The Wildscape Atlas was a projected spin-off product from Prof. Alice Coleman’s Second Land Utilisation Survey of Britain (https://maps.nls.uk/series/second-land-utilisation-survey), jointly edited by Coleman and Geoff Sinclair, her Chief Vegetation Surveyor. Within the field maps for the 2LUSB, the volunteer surveyors initially coloured areas of 'Wildscape' as yellow. “Wildscape is mountain and moorland, heath and coast, bog and fen, all the areas that spring spontaneously to mind at the mention of nature conservation. In this country they are more often semi-natural than natural but nevertheless they are the closest to nature of all British landscapes” (Coleman, 1970). A separate survey of vegetation cover of these Wildscapes was completed by 1969 in England and 1974 in Wales which underpins the 'Wildscape Atlas'. This data has now been scanned and georeferenced and made available alongside the 2LUSB data on the National Library of Scotland. Attribution statement: Wildscape Atlas for England and Wales © Trustees of the Land Use Research Unit, 1969-1974

The Indices of Multiple Deprivation for England combine a number of areas, chosen to cover a range of economic, social and housing issues into a single deprivation score for each Lower Layer Super Output Area in England. The Atlas of Deprivation allows a map visualisation of the overall LSOA deprivation score (rank) and the score (rank) for each of the seven domains by local authority. Source agency: Office for National Statistics Designation: Official Statistics not designated as National Statistics Language: English Alternative title: Edition Subtitle: 2010

This spatial dataset is an output of the Natural England County & City Natural Capital Atlas project (July 2020). It shows variation in ecosystem service flow for habitats across England, based on indicators identified by NE in the 2018 Natural Capital Indicators project. The dataset comprises a hexagonal grid which summarises indicator values across the country (each unit = 5km²).

Natural Capital is an important aspect of current environmental policy and management. This dataset, in combination with the other project outputs, will support understanding of Natural Capital in England and serve as a valuable engagement tool to communicate concepts of the Natural Capital approach to a wide variety of stakeholders.

For full methodology and user guide see documents ‘NCAtlas_Devon’ and ‘NC-Mapping-User-Guidance’ at http://publications.naturalengland.org.uk/publication/6672365834731520.

For full metadata documentation see the data package download below.

Copyright statement: LCM2015 © NERC (CEH) 2011. Contains Ordnance Survey data © Crown Copyright 2007. © Defra. Contains Defra information © Defra - Project MB0102. © Environment Agency. © Forestry Commission. © Historic England [year]. © Joint Nature Conservation Committee. © Natural England copyright. Contains Ordnance Survey data © Crown copyright and database right [year]. Contains data supplied by © NERC - Centre for Ecology & Hydrology. © Natural England copyright. Natural England Licence No. 2011/052 British Geological Survey © NERC, all rights reserved, © NSRI Cranfield University. Contains National Statistics data © Crown copyright and database right [year]. Contains Ordnance Survey data © Crown copyright and database right [year]. Contains Rural Payments Agency. © Barnsley Metropolitan Borough Council. © Bath & North East Somerset Council. © Bedford Borough Council. © London Borough of Bexley. © Birmingham City Council. © Blackburn with Darwen Borough Council. © Blackpool Council. © Bolton Council. © BCP Council. © Bracknell Forest Council. © City of Bradford Metropolitan District Council. © Brighton & Hove City Council. © Bristol City Council. © London Borough of Bromley. © Buckinghamshire County Council. © Bury Council. © Calderdale Council. © Cambridgeshire County Council. © Central Bedfordshire Council. © Cheshire East Council. © Cheshire West and Chester Council. © Cornwall Council. © Cumbria County Council. © Derbyshire County Council. © Devon County Council. © Doncaster Council. © Dorset Council. © Dudley Metropolitan Borough Council. © Durham County Council. © East Riding of Yorkshire Council. © East Sussex County Council. © Essex County Council. © Gateshead Council. © Gloucestershire County Council. © Hampshire County Council. © Herefordshire Council. © Hertfordshire County Council. © Hull City Council. © Isle of Anglesey County Council. © Isle of Wight Council. © Kent County Council. © Kirklees Council. © Knowsley Metropolitan Borough Council. © Lake District National Park. © Lancashire County Council. © Leicester City Council. © Leicestershire County Council. © Lincolnshire County Council. © Manchester City Council. © Medway Council. © Norfolk County Council. © North Lincolnshire Council. © North Somerset Council. © North Yorkshire County Council. © Northamptonshire County Council. © Northumberland County Council. © Nottingham City Council. © Nottinghamshire County Council. © Oldham Council. © Oxfordshire County Council. © Peterborough City Council. © Plymouth City Council. © Bournemouth, Christchurch and Poole Council. © Portsmouth City Council. © Reading Borough Council. © Redcar and Cleveland Borough Council. © Rochdale Borough Council. © Rotherham Metropolitan Borough Council. © Rutland County Council. © Salford City Council. © Sefton Council. © Sheffield City Council. © Shropshire Council. © Slough Borough Council. © Somerset County Council. © South Gloucestershire Council. © Southampton City Council. © St Helens Council. © Staffordshire County Council. © Stockport Metropolitan Borough Council. © Stockton Council. © Suffolk County Council. © Surrey County Council. © Tameside Metropolitan Borough Council. © Thurrock Council. © Torbay Council. © Trafford Council. © Wakefield Council. © Walsall Council. © Warrington Borough Council. © Warwickshire County Council. © West Berkshire Council. © West Sussex County Council. © Wigan Council. © Wiltshire Council. © Royal Borough of Windsor and Maidenhead Council. © Wirral Council. © Wokingham Borough Council. © Worcestershire County Council. © City of York Council.

The aim of this study was to produce a computer atlas of agriculture in England and Wales circa 1840. The tithe surveys were made following the Tithe Commutation Act of 1836 which ended tithe payments to the Church. It was the largest survey of land use, ownership and occupation since the Domesday survey of 1086 and was not equalled again until 1910. It provides information on land use, the condition of rural and urbanising England in the mid-nineteenth century, rural landscape, settlement patterns, roads and enclosure.

The INHALE tool has been refreshed and updated.

This release includes updates for hospital admissions based indicators. This tool includes data from the https://fingertips.phe.org.uk/profile/atlas-of-variation">2nd Atlas of variation in risk factors and healthcare for respiratory disease and further updates to the tool are planned using the respiratory atlas data.

The Advanced Soil Geochemical Atlas of England and Wales was a joint project between the British Geological Survey and Rothamsted Research. The maps are based on 5700 surface soil samples (0-15cm), collected across England and Wales, that have been analysed for 52 major and trace elements. The soil samples collected for the National Soil Inventory (NSI)

The England species map was funded by DEFRA’s Natural Capital and Ecosystem Assessment (NCEA) programme. The map was created using satellite remote sensing data (Sentinel-2) and machine learning to classify common tree species in England. The model was trained to distinguish 35 common tree species, with minority species grouped into “Other broadleaf” or “Other conifer” classes for better classification performance. The final product comprises a species classification and confidence raster output.

The species map represents a predicted distribution of common tree species in England, produced using a time series of multispectral satellite remote sensing data (Sentinel-2) and machine learning. A classifier based on the XGBoost algorithm was trained to distinguish tree species, utilising a time-series of surface reflectance data and labelled training samples from the sub-compartment database (SCDB). To enhance classification performance, minority species with fewer than 1,000 training samples were grouped into broader categories, resulting in a total of 35 classes. Given the significant class imbalances, a sample weighting strategy was employed to guard against significant underfitting of the minority classes. Model evaluation demonstrated strong classification performance, with an overall accuracy of 89% and balanced class accuracy of 90%. Predictions were made at the pixel level and used to generate a species classification and confidence raster output. Field validation for Norway spruce within the Ips typographus demarcated area, confirmed a precision of 69%, aligning with test data results for this class. Additional validation using National Forest Inventory (NFI) data further reinforced model reliability, though accuracy was observed to be worse for underrepresented species.

The Interactive Health Atlas of Lung conditions in England (Inhale) tool has now been refreshed and updated to present data about a range of respiratory diseases including COPD and asthma, at CCG level for England.

This release includes updates for hospital admissions based indicators and Quality and Outcomes Framework (QOF) based indicators. This tool includes data from the https://fingertips.phe.org.uk/profile/atlas-of-variation">2nd Atlas of variation in risk factors and healthcare for respiratory disease and further updates to the tool are planned using the respiratory atlas data.

The Atlas of Hillforts of Britain and Ireland was produced as part of a four year collaborative project between archaeologists at the University of Edinburgh and the University of Oxford, assisted by colleagues at University College Cork for Ireland. The project was funded by the Arts and Humanities Research Council (Grant Ref: AH/J004499/1) and was led by Professor Gary Lock (School of Archaeology, University of Oxford) and Professor Ian Ralston (Abercromby Professor of Archaeology, University of Edinburgh). Partners included English Heritage (now Historic England), Historic Environment Scotland especially the former Royal Commission on the Ancient and Historical Monuments of Scotland, The Royal Commission on the Ancient and Historic Monuments of Wales, Department of the Environment (Northern Ireland) and the Hillfort Study Group.The atlas contains data on 4,147 archaeological sites considered to be hillforts or possible hillforts spread across England, The Isle of Man, Wales, Scotland, Northern Ireland and the Republic of Ireland.The data presented in the atlas is a snapshot taken between 2012 and October 2016. Up to date information on the archaeological sites included in the atlas can be obtained by consulting the appropriate HER/NMR.The online version of the Atlas of Hillforts of Britain and Ireland was built by John Pouncett and Karl Smith (School of Archaeology, University of Oxford). Further information on the archaeological sites included in the Atlas of Hillforts of Britain and Ireland can be found in the accompanying paper-based atlas:Lock, Gary, and Ralston, Ian 2022. Atlas of the Hillforts of Britain and Ireland. Edinburgh: Edinburgh University Press.

Denna rumsliga datamängd är ett resultat av projektet Natural England County & City Natural Capital Atlas (juli 2020). Den visar variationer i ekosystemtjänstflödet för livsmiljöer i England, baserat på indikatorer som identifierats av NE i 2018 Natural Capital Indicators-projektet. Datauppsättningen består av ett sexkantigt rutnät som sammanfattar indikatorvärdena i hela landet (varje enhet = 5 km2). Naturkapital är en viktig aspekt av nuvarande miljöpolitik och förvaltning. Denna dataset, i kombination med de andra projektresultaten, kommer att stödja förståelsen av Natural Capital i England och fungera som ett värdefullt engagemangsverktyg för att kommunicera koncept för Natural Capital-metoden till en mängd olika intressenter. För fullständig metodik och användarhandledning, se dokumenten ”NCAtlas_Devon” och ”NC-Mapping-User-Guidance” på http://publications.naturalengland.org.uk/publication/6672365834731520. För fullständig metadatadokumentation se nedladdningen av datapaketet nedan. Upphovsrättsförklaring: LCM2015 © NERC (CEH) 2011. Innehåller Ordnance Survey data © Crown Copyright 2007. © Defra. Innehåller Defra-information © Defra - Project MB0102. © Miljöbyrån. © Skogsstyrelsen. Historiska England [år]. © Gemensamma naturskyddskommittén. © Natural England upphovsrätt. Innehåller uppgifter från Ordnance Survey © Crown copyright and database right [year]. Innehåller data från © NERC - Centre for Ecology & Hydrology. © Natural England upphovsrätt. Natural England Licens nr. 2011/052 British Geological Survey © NERC, alla rättigheter förbehållna, © NSRI Cranfield University. Innehåller nationell statistikdata © Crown upphovsrätt och databasrätt [år]. Innehåller uppgifter från Ordnance Survey © Crown copyright and database right [year]. Innehåller organet för utbetalningar till landsbygden. Alla avstånd från Barnsley Metropolitan Borough Council Alla avstånd från Bath & North East Somerset Council Alla avstånd från Bedford Borough Council Hotell nära London Borough of Bexley © Birminghams kommunfullmäktige. © Blackburn tillsammans med Darwen Borough Council. Alla avstånd från Blackpool Council © Boltonrådet. © Gränsövergångsställets råd. Alla avstånd från Bracknell Forest Council Alla avstånd från City of Bradford Metropolitan District Council © Brighton & Hove kommunfullmäktige. © Bristols kommunfullmäktige. Alla avstånd från London Borough of Bromley Alla avstånd från Buckinghamshire County Council © Begravningsrådet. © Calderdale kommunfullmäktige. Alla avstånd från Cambridgeshire County Council Alla avstånd från Central Bedfordshire Council Alla avstånd från Cheshire East Council Cheshire West och Chester Council. © Cornwalls kommunfullmäktige. © Länsstyrelsen i Cumbria. Alla avstånd från Derbyshire County Council © Landstinget i Devon. © Doncasterrådet. © Dorset-rådet. Alla avstånd från Dudley Metropolitan Borough Council Alla avstånd från Durham County Council Restauranger i närheten av East Riding of Yorkshire Council Alla avstånd från East Sussex County Council Alla avstånd från Essex County Council Alla avstånd från Gateshead Council Alla avstånd från Gloucestershire County Council Alla avstånd från Hampshire County Council © Herefordshires kommunfullmäktige. Alla avstånd från Hertfordshire County Council © Hull kommunfullmäktige. Alla avstånd från Isle of Anglesey County Council Alla avstånd från Isle of Wight Council Alla avstånd från Kent County Council © Kirklees kommunfullmäktige. Alla avstånd från Knowsley Metropolitan Borough Council Alla avstånd från Lake District National Park Alla avstånd från Lancashire County Council © Leicester kommunfullmäktige. Alla avstånd från Leicestershire County Council Alla avstånd från Lincolnshire County Council © Manchesters kommunfullmäktige. © Medway-rådet. Alla avstånd från Norfolk County Council Alla avstånd från North Lincolnshire Council Alla avstånd från North Somerset Council Alla avstånd från North Yorkshire County Council Alla avstånd från Northamptonshire County Council Alla avstånd från Northumberland County Council © Nottinghams kommunfullmäktige. Alla avstånd från Nottinghamshire County Council © Oldhams kommunfullmäktige. Alla avstånd från Oxfordshire County Council © Peterborough kommunfullmäktige. © Plymouth kommunfullmäktige. © Bournemouth, Christchurch och Poole Council. © Portsmouth kommunfullmäktige. © Reading kommunfullmäktige. © Redcar och Cleveland Borough Council. © Rochdale kommunfullmäktige. Alla avstånd från Rotherham Metropolitan Borough Council © Landstinget i Rutland. © Salford kommunfullmäktige. © Sefton-rådet. © Sheffield kommunfullmäktige. © Shropshires kommunfullmäktige. Alla avstånd från Slough Borough Council Alla avstånd från Somerset County Council Alla avstånd från South Gloucestershire Council © Southamptons kommunfullmäktige. © St Helens kommunfullmäktige. Alla avstånd från Staffordshire County Council Alla avstånd från Stockport Metropolitan Borough Council © Stocktons kommunfullmäktige. Alla avstånd fr

This dataset consists of the vector version of the Land Cover Map 2015 (LCM2015) for Great Britain. The vector data set is the core LCM data set from which the full range of other LCM2015 products is derived. It provides a number of attributes including land cover at the target class level (given as an integer value and also as text), the number of pixels within the polygon classified as each land cover type and a probability value provided by the classification algorithm (for full details see the LCM2015 Dataset Documentation). The 21 target classes are based on the Joint Nature Conservation Committee (JNCC) Broad Habitats, which encompass the entire range of UK habitats. LCM2015 is a land cover map of the UK which was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. LCM2015 consists of a range of raster and vector products and users should familiarise themselves with the full range (see related records, the CEH web site and the LCM2015 Dataset documentation) to select the product most suited to their needs. LCM2015 was produced at the Centre for Ecology & Hydrology by classifying satellite images from 2014 and 2015 into 21 Broad Habitat-based classes. It is one of a series of land cover maps, produced by UKCEH since 1990. They include versions in 1990, 2000, 2007, 2015, 2017, 2018 and 2019.

The Moorland Change Map (MCM) is a vector dataset which shows whether the uplands monitored contain change during the period of monitoring (Approximately the moorland burning season of Oct to Apr. The MCM is an earth observation derived product, using the Sentinel-2 satellites Validation of the the results happens for each year per upland and Nationally. The validation shows the accuracy of the MCM results and are available in the associated Excel spreadsheet. Attribution statement: Sentinel 2 analysis-ready data supplied under the Open Government License v3 by the Defra Earth Observation Data Service [earthobs.defra.gov.uk] © Natural England

This layer of the map based index (GeoIndex) shows the boundaries of the G-BASE (Geochemical Baseline Survey of the Environment) project mapping areas which are reported as geochemical atlases. The majority of atlases are for stream sediments, with data on stream waters and soils included when available. Separate stream sediment, soil and stream water atlases have been published for Wales. Wales and north of Humber-Trent are reported as hardcopy generally A3 sized publications. The Humber-Trent atlas is available as a pdf file on a CD-ROM. Atlases are available for Shetland, Orkney, South Orkney and Caithness, Sutherland, Hebrides, Great Glen, East Grampians, Argyll, Southern Scotland, Lake District, NE England, NW England and N Wales, Humber-Trent, Wales and West Midlands. Atlases are not available yet for the East Midlands, East Anglia, SE England and SW England.

Atlas Logistics Uk Limited Export Import Data. Follow the Eximpedia platform for HS code, importer-exporter records, and customs shipment details.

Living England is a multi-year project which delivers a broad habitat map for the whole of England, created using satellite imagery, field data records and other geospatial data in a machine learning framework. The Living England habitat map shows the extent and distribution of broad habitats across England aligned to the UKBAP classification, providing a valuable insight into our natural capital assets and helping to inform land management decisions. Living England is a project within Natural England, funded by and supports the Defra Natural Capital and Ecosystem Assessment (NCEA) Programme and Environmental Land Management (ELM) Schemes to provide an openly available national map of broad habitats across England.This dataset includes very complex geometry with a large number of features so it has a default viewing distance set to 1:80,000 (City in the map viewer).Process Description:A number of data layers are used to develop a ground dataset of habitat reference data, which are then used to inform a machine-learning model and spatial analyses to generate a map of the likely locations and distributions of habitats across England. The main source data layers underpinning the spatial framework and models are Sentinel-2 and Sentinel-1 satellite data from the ESA Copernicus programme, Lidar from the EA's national Lidar Programme and collected data through the project's national survey programme. Additional datasets informing the approach as detailed below and outlined in the accompanying technical user guide.Datasets used:OS MasterMap® Topography Layer; Geology aka BGS Bedrock Mapping 1:50k; Long Term Monitoring Network; Uplands Inventory; Coastal Dune Geomatics Mapping Ground Truthing; Crop Map of England (RPA) CROME; Lowland Heathland Survey; National Grassland Survey; National Plant Monitoring Scheme; NE field Unit Surveys; Northumberland Border Mires Survey; Sentinel-2 multispectral imagery; Sentinel-1 backscatter imagery; Sentinel-1 single look complex (SLC) imagery; National forest inventory (NFI); Cranfield NATMAP; Agri-Environment HLS Monitoring; Living England desktop validation; Priority Habitat Inventory; Space2 Eye Lens: Ainsdale NNR, State of the Bog Bowland Survey, State of the Bog Dark Peak Condition Survey, State of the Bog Manchester Metropolitan University (MMU) Mountain Hare Habitat Survey Dark Peak, State of the Bog; Moors for the Future Dark Peak Survey; West Pennines Designation NVC Survey; Wetland Annex 1 inventory; Soils-BGS Soil Parent Material; Met Office HadUK gridded climate product; Saltmarsh Extent and Zonation; EA LiDAR DSM & DTM; New Forest Mires Wetland Survey; New Forest Mires Wetland Survey; West Cumbria Mires Survey; England Peat Map Vegetation Surveys; NE protected sites monitoring; ERA5; OS Open Built-up Areas; OS Boundaries dataset; EA IHM (Integrated height model) DTM; OS VectorMap District; EA Coastal Flood Boundary: Extreme Sea Levels; AIMS Spatial Sea Defences; LIDAR Sand Dunes 2022; EA Coastal saltmarsh species surveys; Aerial Photography GB (APGB); NASA SRT (Shuttle Radar Topography Mission) M30; Provisional Agricultural Land Classification; Renewable Energy Planning Database (REPD); Open Street Map 2024.Attribute descriptions: Column Heading Full Name Format Description

SegID SegID Character (100) Unique Living England segment identifier. Format is LEZZZZ_BGZXX_YYYYYYY where Z = release year (2223 for this version), X = BGZ and Y = Unique 7-digit number

Prmry_H Primary_Habitat Date Primary Living England Habitat

Relblty Reliability
Character (12) Reliability Metric Score

Mdl_Hbs Model_Habs Interger List of likely habitats output by the Random Forest model.

Mdl_Prb Model_Probs Double (6,2) List of probabilities for habitats listed in ‘Model_Habs’, calculated by the Random Forest model.

Mixd_Sg Mixed_Segment Character (50) Indication of the likelihood a segment contains a mixture of dominant habitats. Either Unlikely or Probable.

Source Source

Description of how the habitat classification was derived. Options are: Random Forest; Vector OSMM Urban; Vector Classified OS Water; Vector EA saltmarsh; LE saltmarsh & QA; Vector RPA Crome, ALC grades 1-4; Vector LE Bare Ground Analysis; LE QA Adjusted

SorcRsn Source_Reason

Reasoning for habitat class adjustment if ‘Source’ equals ‘LE QA Adjusted’

Shap_Ar Shape_Area

Segment area (m2) Full metadata can be viewed on data.gov.uk.

This MSOA atlas provides a summary of demographic and related data for each Middle Super Output Area in Greater London. The average population of an MSOA in London in 2010 was 8,346, compared with 1,722 for an LSOA and 13,078 for a ward. The profiles are designed to provide an overview of the population in these small areas by combining a range of data on the population, births, deaths, health, housing, crime, commercial property/floorspace, income, poverty, benefits, land use, environment, deprivation, schools, and employment. If you need to find an MSOA and you know the postcode of the area, the ONS NESS search page has a tool for this. The MSOA Atlas is available as an XLS as well as being presented using InstantAtlas mapping software. This is a useful tool for displaying a large amount of data for numerous geographies, in one place (requires HTML 5). NB. It is currently not possible to export the map as a picture due to a software issue with the Google Maps background. We advise you to print screen to copy an image to the clipboard. Tips: Select a new indicator from the Data box on the left. Select the theme, then indicator and then year to show the data. To view data just for one borough*, use the filter tool. The legend settings can be altered by clicking on the pencil icon next to the MSOA tick box within the map legend.

The INHALE tool has been refreshed and updated.

This release includes new mortality indicators. This tool includes data from the https://fingertips.phe.org.uk/profile/atlas-of-variation" class="govuk-link">2nd Atlas of variation in risk factors and healthcare for respiratory disease and further updates to the tool are planned using the respiratory atlas data.

Anyone who has taught GIS using Census Data knows it is an invaluable data set for showing students how to take data stored in a table and join it to boundary data to transform this data into something that can be visualised and analysed spatially. Joins are a core GIS skill and need to be learnt, as not every data set is going to come neatly packaged as a shapefile or feature layer with all the data you need stored within. I don't know how many times I taught students to download data as a table from Nomis, load it into a GIS and then join that table data to the appropriate boundary data so they could produce choropleth maps to do some visual analysis, but it was a lot! Once students had gotten the hang of joins using census data they'd often ask why this data doesn't exist as a prepackaged feature layer with all the data they wanted within it. Well good news, now a lot off it is and it's accessible through the Living Atlas! Don't get me wrong I fully understand the importance of teaching students how to perform joins but once you have this understanding if you can access data that already contains all the information you need then you should be taking advantage of it to save you time. So in this exercise I am going to show you how to load English and Welsh Census Data from the 2021 Census into the ArcGIS Map Viewer from the Living Atlas and produce some choropleth maps to use to perform visual analysis without having to perform a single join.