The Access Network Map of England is a national composite dataset of Access layers, showing analysis of extent of Access provision for each Lower Super Output Area (LSOA), as a percentage or area coverage of access in England. The ‘Access Network Map’ was developed by Natural England to inform its work to improve opportunities for people to enjoy the natural environment. This map shows, across England, the relative abundance of accessible land in relation to where people live. Due to issues explained below, the map does not, and cannot, provide a definitive statement of where intervention is necessary. Rather, it should be used to identify areas of interest which require further exploration. Natural England believes that places where people can enjoy the natural environment should be improved and created where they are most wanted. Access Network Maps help support this work by providing means to assess the amount of accessible land available in relation to where people live. They combine all the available good quality data on access provision into a single dataset and relate this to population. This provides a common foundation for regional and national teams to use when targeting resources to improve public access to greenspace, or projects that rely on this resource. The Access Network Maps are compiled from the datasets available to Natural England which contain robust, nationally consistent data on land and routes that are normally available to the public and are free of charge. Datasets contained in the aggregated data:•
Agri-environment scheme permissive access (routes and open access)•
CROW access land (including registered common land and Section 16)•
Country Parks•
Cycleways (Sustrans Routes) including Local/Regional/National and Link Routes•
Doorstep Greens•
Local Nature Reserves•
Millennium Greens•
National Nature Reserves (accessible sites only)•
National Trails•
Public Rights of Way•
Forestry Commission ‘Woods for People’ data•
Village Greens – point data only Due to the quantity and complexity of data used, it is not possible to display clearly on a single map the precise boundary of accessible land for all areas. We therefore selected a unit which would be clearly visible at a variety of scales and calculated the total area (in hectares) of accessible land in each. The units we selected are ‘Lower Super Output Areas’ (LSOAs), which represent where approximately 1,500 people live based on postcode. To calculate the total area of accessible land for each we gave the linear routes a notional width of 3 metres so they could be measured in hectares. We then combined together all the datasets and calculated the total hectares of accessible land in each LSOA. For further information about this data see the following links:Access Network Mapping GuidanceAccess Network Mapping Metadata Full metadata can be viewed on data.gov.uk.

A PDF map that shows the counties and unitary authorities in the United Kingdom as at 1 April 2023. (File Size - 583 KB)

Statutory Main Rivers Map is a spatial (polyline) dataset that defines statutory watercourses in England designated as Main Rivers by the Environment Agency.

Watercourses designated as ‘main river’ are generally the larger arterial watercourses. The Environment Agency has permissive powers, but not a duty, to carry out maintenance, improvement or construction work on designated main rivers.

All other open water courses in England are determined by statute as an ‘ordinary watercourse’. On these watercourses the Lead Local flood Authority or, if within an Internal Drainage District, the Internal Drainage Board have similar permissive powers to maintain and improve.

OpenStreetMap (openstreetmap.org) is a global collaborative mapping project, which offers maps and map data released with an open license, encouraging free re-use and re-distribution. The data is created by a large community of volunteers who use a variety of simple on-the-ground surveying techniques, and wiki-syle editing tools to collaborate as they create the maps, in a process which is open to everyone. The project originated in London, and an active community of mappers and developers are based here. Mapping work in London is ongoing (and you can help!) but the coverage is already good enough for many uses. Browse the map of London on OpenStreetMap.org Downloads: The whole of England updated daily: england.osm.bz2 ~185M - .osm formatted raw XML data (compressed) england.shp.zip ~156M - ESRI shapefiles For more details of downloads available from OpenStreetMap, including downloading the whole planet, see 'planet.osm' on the wiki. Data access APIs: Download small areas of the map by bounding-box. For example this URL requests the data around Trafalgar Square: http://api.openstreetmap.org/api/0.6/map?bbox=-0.13062,51.5065,-0.12557,51.50969 Data filtered by "tag". For example this URL returns all elements in London tagged shop=supermarket: http://www.informationfreeway.org/api/0.6/*[shop=supermarket][bbox=-0.48,51.30,0.21,51.70] The .osm format The format of the data is a raw XML represention of all the elements making up the map. OpenStreetMap is composed of interconnected "nodes" and "ways" (and sometimes "relations") each with a set of name=value pairs called "tags". These classify and describe properties of the elements, and ultimately influence how they get drawn on the map. To understand more about tags, and different ways of working with this data format refer to the following pages on the OpenStreetMap wiki.

Variety of freely available Ordnance Survey digital mapping datasets including postcodes and administration boundaries. These datasets can be useful in helping to map a number of other datasets available on the London Datastore such as Borough or Ward level data.

The following OS products are available to download from the OS OpenData website:

• MiniScale®
• 1:250 000 Scale Colour Raster
• OS Street View®
• Boundary-Line™
• Code-Point Open®
• 1:50 000 Scale Gazetteer
• Strategi®
• Meridian™ 2
• OS Locator™
• OS Terrain 50
• Land-Form PANORAMA®
• OS VectorMap® District (vector)
• OS VectorMap® District (raster)

https://www.ordnancesurvey.co.uk/business-and-government/products/finder.html?Licensed%20for=OpenData%20(Free)&withdrawn=on">Click here to visit the Ordnance Survey OpenData pages

https://www.ordnancesurvey.co.uk/opendatadownload/products.html">Click here to download the Ordnance Survey OpenData files

From Parliamentary constituencies to council wards, Boundary-Line™ maps every administrative boundary in detail for you. And what's more, it's completely free to download and use.

Bring statistics to life For academics or policy-makers, Boundary-Line brings the statistics in your reports to life. It lets you show differences between regions or councils using easy-to-read shaded maps.

A robust framework Monitoring outcomes by area is key for public bodies. Boundary-Line gives you a robust analytical framework to ensure the right communities get the right resources.

Individual properties When you're consulting on updating boundaries to take account of population change, Boundary-Line lets you show on a map where the line's being drawn, right down to the level of individual properties.

The National Trees Outside Woodland (TOW) V1 map is a vector product funded by DEFRA’s Natural Capital and Ecosystem Assessment (NCEA) programme produced under Forest Research’s Earth Observation for Trees and Woodlands (EOTW) project.

The TOW map identifies canopy cover over 3m tall and 5m2 area which exists outside the National Forest Inventory (National Forest Inventory - Forest Research). Canopy cover is categorised into the following woodland types - lone trees, groups of trees and small woodlands.

The data set was derived from the Vegetation Object Model (VOM) (Environment Agency, EA), the National Lidar Survey (EA), and Sentinel-2 (European Space Agency) imagery using spatial algorithms. The method is fully automated with no manual manipulation or editing. The map and its production method has been quality assured by DEFRA science assurance protocols and assessed for accuracy using ground truth data.

Because the process classifies objects based on proximity to features within OS mapping, there could be some misclassifications of those objects not included in the OS (specifically: static caravans, shipping containers, large tents, marquees, coastal cliffs and solar farms).

This is a first release of this dataset, the quality of the production methods will be reviewed over the next year, and improvements will be made where possible.

The TOW map is available under open government licence and free to download from the Forestry Commission open data download website (Forestry Commission) and view online on the NCEA ArcGIS Online web portal (Trees Outside Woodland). A full report containing details on methodology, accuracy and user guide is available.

TOW map web portal link : ncea.maps.arcgis.com/apps/instant/sidebar/index.html?appid=cf571f455b444e588aa94bbd22021cd3

FR TOW map web page : https://www.forestresearch.gov.uk/tools-and-resources/fthr/trees-outside-woodland-map/

A PDF map that shows the Regions in England, as at December 2017. (File Size - 226 KB)

Using a range of different data sources Natural England has collated a map showing the extent of peatlands in England. For the purposes of this project, peatlands have been classified into three types based on the source of the information but assumed to have the following general characteristics:■ Deep peaty soils: Areas covered with a majority of peat >40cm deep.■ Shallow peaty soils: Areas with a majority of soils with peat 10–40cm deep.■ Soils with peaty pockets: Areas of mostly non-peat soils, supporting smaller pockets of deep peat (such as flushes or exposures of buried peat) too small to map at a national scale.Reported in Natural England's publication England's Peatland - carbon storage and greenhouse gases (NE257).We have have shared this data with permission from Natural England. You can request a download of the full dataset from enquiries@naturalengland.org.uk. It is available free of charge for non-commercial purposes. If you want to use the data for a Commercial purpose you must obtain a licence from Natural England.

This dataset presents the mean topsoil (0-15 cm) organic carbon concentration (g kg-1) and measures of its variability at 1 km resolution across Great Britain. The mean and variability metrics were calculated from an ensemble of eight previously published digital soil maps applied to all 1 km grid cells across GB where data were available from all eight maps. Four of the maps were generated from the 2007 UKCEH Countryside Survey topsoil data, two of which are available online to use. Two maps are from the International Soil Reference and Information Centre, ISRIC: SoilGrids250m v.1 (2017) and v.2 (2020) which are free to download. Two maps are from the EU’s Joint Research Centre (JRC): the OCTOP map of 2004 and LUCAS map of 2014 which are both free to download. The dataset comes in the form of a seven-band raster tiff file, with each band representing the following: 1. Mean predicted soil organic carbon concentration (g kg-1) of all eight maps at each 1 km grid cell 2. Standard deviation (g kg-1) of all eight maps at each 1 km grid cell 3. Coefficient of variation (unitless; the standard deviation divided by the mean) at each 1 km grid cell 4. Signal to noise ratio (unitless; the mean divided by the standard deviation) at each 1 km grid cell 5. Name of the map that deviates the most from the ensemble mean at each 1 km grid cell 6. Relative size (%) of the largest difference from the ensemble mean at each 1 km grid cell 7. Relative size of the largest difference from the ensemble mean expressed as the number of standard deviations exceeded at each 1 km grid cell 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.

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 dataset comprises river centrelines, digitised from OS 1:50,000 mapping. It consists of four components: rivers; canals; surface pipes (man-made channels for transporting water such as aqueducts and leats); and miscellaneous channels (including estuary and lake centre-lines and some underground channels). This dataset is a representation of the river network in Great Britain as a set of line segments, i.e. it does not comprise a geometric network.

This is a collection of simple maps in PDF format that are designed to be printed off and used in the classroom. The include maps of Great Britain that show the location of major rivers, cities and mountains as well as maps of continents and the World. There is very little information on the maps to allow teachers to download them and add their own content to fit with their lesson plans. Customise one print out then photocopy them for your lesson. data not available yet, holding data set (7th August). Other. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2012-08-07 and migrated to Edinburgh DataShare on 2017-02-22.

With this add in it is possible to create map templates from GIS files in KML format, and create choropleths with them. Providing you have access to KML format map boundary files, it is possible to create your own quick and easy choropleth maps in Excel. The KML format files can be converted from 'shape' files. Many shape files are available to download for free from the web, including from Ordnance Survey and the London Datastore. Standard mapping packages such as QGIS (free to download) and ArcGIS can convert the files to KML format. A sample of a KML file (London wards) can be downloaded from this page, so that users can easily test the tool out. Macros must be enabled for the tool to function. When creating the map using the Excel tool, the 'unique ID' should normally be the area code, the 'Name' should be the area name and then if required and there is additional data in the KML file, further 'data' fields can be added. These columns will appear below and to the right of the map. If not, data can be added later on next to the codes and names. In the add-in version of the tool the final control, 'Scale (% window)' should not normally be changed. With the default value 0.5, the height of the map is set to be half the total size of the user's Excel window. To run a choropleth, select the menu option 'Run Choropleth' to get this form. To specify the colour ramp for the choropleth, the user needs to enter the number of boxes into which the range is to be divided, and the colours for the high and low ends of the range, which is done by selecting coloured option boxes as appropriate. If wished, hit the 'Swap' button to change which colours are for the different ends of the range. Then hit the 'Choropleth' button. The default options for the colours of the ends of the choropleth colour range are saved in the add in, but different values can be selected but setting up a column range of up to twelve cells, anywhere in Excel, filled with the option colours wanted. Then use the 'Colour range' control to select this range, and hit apply, having selected high or low values as wished. The button 'Copy' sets up a sheet 'ColourRamp' in the active workbook with the default colours, which can just be extended or deleted with just a few cells, so saving the user time. The add-in was developed entirely within the Excel VBA IDE by Tim Lund. He is kindly distributing the tool for free on the Datastore but suggests that users who find the tool useful make a donation to the Shelter charity. It is not intended to keep the actively maintained, but if any users or developers would like to add more features, email the author. Acknowledgments Calculation of Excel freeform shapes from latitudes and longitudes is done using calculations from the Ordnance Survey.

The Vice County system for Great Britain was devised by an English botanist, Hewett Cottrell Watson, for the purposes of illustrating plant distributions These digitised boundaries are available free-of-charge as a download to recorders, mapping scheme organisers, local record centres and others. This download will contain 3 datasets, an outline of GB, a zip containing individual Vice Counties and a zip containing all Vice Counties as 1 shapefile. 3 and 12 mile offshore limits are included in each zip. Data sourced from http://www.nbn.org.uk/SpecialPages/WVCB-Download.aspx and released under an Open Government Licence. GIS vector data. This dataset was first accessioned in the EDINA ShareGeo Open repository on 2013-10-31 and migrated to Edinburgh DataShare on 2017-02-22.

https://www.openstreetmap.org/images/osm_logo.png" alt=""> OpenStreetMap (openstreetmap.org) er et globalt samarbejdskortlægningsprojekt, der tilbyder kort og kortdata udgivet med en åben licens, der tilskynder til gratis genbrug og videredistribution. Dataene er skabt af et stort fællesskab af frivillige, der bruger en række enkle on-the-ground landmålingsteknikker og wiki-syle redigeringsværktøjer til at samarbejde, når de opretter kortene, i en proces, der er åben for alle.Projektet opstod i London, og et aktivt fællesskab af kortlæggere og udviklere er baseret her. Kortlægningsarbejde i London er i gang (og du kan hjælpe!), Men dækningen er allerede god nok til mange anvendelser. Gennemse kortet over London på OpenStreetMap.org

Downloads:

Hele England opdateres dagligt: * england.osm.bz2 ~185M - .osm formaterede rå XML-data (komprimeret) * england.shp.zip ~156M - ESRI shapefiles For flere detaljer om downloads tilgængelige fra OpenStreetMap, herunder download af hele planeten, se 'planet.osm' på wikien. ### API'er for dataadgang: Download små områder af kortet ved hjælp af afgrænsningsboksen. Denne URL anmoder f.eks. om data omkring Trafalgar Square: http://api.openstreetmap.org/api/0.6/map?bbox=-0.13062,51.5065,-0.12557,51.50969

Data filtreret efter "tag".Denne URL returnerer f.eks. alle elementer i London tagget shop=supermarket:

http://www.informationfreeway.org/api/0.6/*[shop=supermarket][bbox=-0.48,51.30,0.21,51.70]

Formatet .osm

Dataformatet er en rå XML-repræsentation af alle de elementer, der udgør kortet.OpenStreetMap er sammensat af indbyrdes forbundne "noder" og "måder" (og nogle gange "relationer") hver med et sæt af name=value par kaldet "tags". Disse klassificerer og beskriver elementernes egenskaber og har i sidste ende indflydelse på, hvordan de bliver tegnet på kortet. Hvis du vil vide mere om tags og forskellige måder at arbejde med dette dataformat på, skal du se de følgende sider på OpenStreetMap-wikien.

• .osm - Om OpenStreetMap's rå XML-dataformat * Downloading data - Flere oplysninger om API og udtræk download muligheder

• Xapi - Den udvidede api til filtrering efter tag * Kortfunktioner - En liste over tags, og hvilke kortfunktioner de repræsenterer

• Konvertering af kortdata mellem formater - katalog over værktøjer til konvertering fra .osm til andre formater ### Enkle indlejrede kort

I stedet for at arbejde med rå kortdata foretrækker du måske at integrere kort fra OpenStreetMap på din hjemmeside med en simpel smule javascript. Du kan også præsentere overlejringer af andre data på en måde, der ligner meget at arbejde med Google Maps. Faktisk kan du endda bruge Google Maps API til at gøre dette. Se OSM på din egen hjemmeside for detaljer og links til forskellige javascript-kortbiblioteker.

Hjælp med at bygge kortet!

OpenStreetMap-projektet har til formål at tiltrække et stort antal bidragydere, der alle chip i en lille smule for at hjælpe med at opbygge kortet.Selvom kortredigeringsværktøjerne tager lidt tid at lære, er de designet til at være så enkle som muligt, så alle kan blive involveret. Dette projekt tilbyder et spændende middel til at give lokale London-samfund mulighed for at tage ejerskab over deres del af kortet.

Læs om, hvordan du Get Involved og se siden London for oplysninger om OpenStreetMap-fællesskabsarrangementer.https://www.openstreetmap.org/images/osm_logo.png" alt=""> OpenStreetMap (openstreetmap.org) er et globalt samarbejdskortlægningsprojekt, der tilbyder kort og kortdata udgivet med en åben licens, der tilskynder til gratis genbrug og videredistribution. Dataene er skabt af et stort fællesskab af frivillige, der bruger en række enkle on-the-ground landmålingsteknikker og wiki-syle redigeringsværktøjer til at samarbejde, når de opretter kortene, i en proces, der er åben for alle.Projektet opstod i London, og et aktivt fællesskab af kortlæggere og udviklere er baseret her. Kortlægningsarbejde i London er i gang (og du kan hjælpe!), Men dækningen er allerede god nok til mange anvendelser.

[Gennemse kortet

A free mapping tool that allows you to create a thematic map of London without any specialist GIS skills or software - all you need is Microsoft Excel. Templates are available for London’s Boroughs and Wards. Full instructions are contained within the spreadsheets.

Borough maps

• Map for quantitative data
• Map for categorical data
• Cartogram that uses squares to represent London Boroughs

Ward maps

Pre-2014 boundaries

• Greater London
• Individual Boroughs: Barking and Dagenham, Barnet, Bexley, Brent, Bromley, Camden, Croydon, Ealing, Enfield, Greenwich, Hackney, Hammersmith and Fulham, Haringey, Harrow, Havering, Hillingdon, Hounslow, Islington, Kensington and Chelsea, Kingston upon Thames, Lambeth, Lewisham, Merton, Newham, Redbridge, Richmond upon Thames, Southwark, Sutton, <a href="https://

Provisional Agricultural Land Classification Grade. Agricultural land classified into five grades. Grade one is best quality and grade five is poorest quality. A number of consistent criteria used for assessment which include climate (temperature, rainfall, aspect, exposure, frost risk), site (gradient, micro-relief, flood risk) and soil (depth, structure, texture, chemicals, stoniness) for England only. Digitised from the published 1:250,000 map which was in turn compiled from the 1 inch to the mile maps.More information about the Agricultural Land Classification can be found at the following links:http://webarchive.nationalarchives.gov.uk/20130402200910/http://archive.defra.gov.uk/foodfarm/landmanage/land-use/documents/alc-guidelines-1988.pdfhttp://publications.naturalengland.org.uk/publication/35012.Full metadata can be viewed on data.gov.uk.

The LIDAR Composite DTM (Digital Terrain Model) is a raster elevation model covering ~99% of England at 1m spatial resolution. The DTM (Digital Terrain Model) is produced from the last or only laser pulse returned to the sensor. We remove surface objects from the Digital Surface Model (DSM), using bespoke algorithms and manual editing of the data, to produce a terrain model of just the surface.

Produced by the Environment Agency in 2022, the DTM is derived from a combination of our Time Stamped archive and National LIDAR Programme surveys, which have been merged and re-sampled to give the best possible coverage. Where repeat surveys have been undertaken the newest, best resolution data is used. Where data was resampled a bilinear interpolation was used before being merged.

The 2022 LIDAR Composite contains surveys undertaken between 6th June 2000 and 2nd April 2022. Please refer to the metadata index catalgoues which show for any location which survey was used in the production of the LIDAR composite.

The data is available to download as GeoTiff rasters in 5km tiles aligned to the OS National grid. The data is presented in metres, referenced to Ordinance Survey Newlyn and using the OSTN’15 transformation method. All individual LIDAR surveys going into the production of the composite had a vertical accuracy of +/-15cm RMSE.