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TwitterThe 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.
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TwitterA selection of template maps
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TwitterNational Parks are run by National Park Authorities for the purpose of conserving and enhancing the natural beauty, wildlife and cultural heritage and to provide opportunities for the understanding and enjoyment of the Park by the public. Alterations: Yorkshire Dales and Lake District National Park (Designation) boundaries modified 1st August 2016. South Downs National Park (Designation) modified on 2nd June 2010.Full metadata can be viewed on data.gov.uk.
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TwitterI thought this would be simple, but there are many subtly different definitions of what a map is and I discovered i didn't really like all of them. After some time i settled on the following:The important thing to remember is that all maps are wrong. They have to be as they are generalisations.
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TwitterAnyone 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.
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TwitterSee the 2019 strategic noise mapping data.
Defra has published strategic noise map data that give a snapshot of the estimated noise from major road and rail sources across England in 2012. The data was developed as part of implementing the http://ec.europa.eu/environment/noise/directive_en.htm">Environmental Noise Directive.
This publication explains which noise sources were included in 2012 strategic noise mapping process. It provides summary maps for major road and rail sources and provides links to the detailed Geographic Information Systems (GIS) noise datasets.
This data will help transport authorities to better identify and prioritise relevant local action on noise. It will also be useful for planners, academics and others working to assess noise and its impacts.
We’ve already published data which shows the estimated number of people affected by noise from road traffic, railway and industrial sources.
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TwitterIn the middle of 2001 Roger Kain and Richard Oliver, from the University of Exeter, published a substantial work entitled Historic Parishes of England and Wales: Electronic Map - Gazetteer- Metadata. This was the final product of a project aimed at locating and mapping the boundaries of parish and sub-parish units of the mid-nineteenth century. The authors published the results in a series of electronic maps supplied on CD-ROM. Each one of these 115 maps contain a scanned 1”:1 mile OS New Popular Series map, overlain by the boundaries. A reference number can be found in each of the polygons that can then be used to look up information about that parish in gazetteer in an accompanying book.
A major limitation of this work is that although the boundaries are in digital form, they are divided into 115 tiles, none of which have any spatial co-ordinate information inherent in them. This means that although the maps are invaluable as a reference tool, they can not be used together within a GIS to select, analyse and present historic information.
We have therefore created a single digital map of the boundaries to provide a single, continuous coverage of polygons, each of which contain the information provided by Kain and Oliver in their accompanying book. This information includes the parish name, Ancient County, and a reference number that coincides with entries for that parish in the 1851 census report.
It is recommended that users also order disc 1 of study 4348; Historic Parishes of England and Wales : an Electronic Map of Boundaries before 1850 with a Gazetteer and Metadata
Please note: this study does not include information on named individuals and would therefore not be useful for personal family history research.
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Twitter[From The Landmap Project: Introduction, "http://www.landmap.ac.uk/background/intro.html"]
A joint project to provide orthorectified satellite image mosaics of Landsat,
SPOT and ERS radar data and a high resolution Digital Elevation Model for the
whole of the UK. These data will be in a form which can easily be merged with
other data, such as road networks, so that any user can quickly produce a
precise map of their area of interest.
Predominately aimed at the UK academic and educational sectors these data and
software are held online at the Manchester University super computer facility
where users can either process the data remotely or download it to their local
network.
Please follow the links to the left for more information about the project or
how to obtain data or access to the radar processing system at MIMAS. Please
also refer to the MIMAS spatial-side website,
"http://www.mimas.ac.uk/spatial/", for related remote sensing materials.
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Twitter1) Use the search tool to find where you go to school or work2) Measure the distance you travel to school or work
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TwitterTo Digitise in ArcGIS Online you will need to Add Map Notes. Follow the following steps to digitise the area of an agricultural field:
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Data OriginThe dataset provided by Ofwat is rooted in legal records. The dataset is digitised from the official appointments of companies as water and sewage undertakers, which include legally binding documents and maps. These documents establish the specific geographic areas each water company is responsible for. The dataset was sourced from Constituency information: Water companiesData TriageAnonymisation is not required for this dataset, since the data is publicly available and focuses on geographical boundaries of water companies rather than individual or sensitive information. The shapefile serves a specific purpose related to geospatial analysis and regulatory compliance, offering transparent information about the service areas of different water companies as designated by Ofwat.Further ReadingBelow is a curated selection of links for additional reading, which provide a deeper understanding of the water company boundaries datasetOfwat (The Water Services Regulation Authority): As the regulatory body for water and wastewater services in England and Wales, Ofwat's website is a primary source for detailed information about the water industry, including company boundaries.Data.gov.uk: This site provides access to national datasets, including the Water Resource Zone GIS Data (WRMP19), which covers all water resource zones in England. This dataset is crucial for understanding geographical boundaries related to water management.Water UK: As a trade body representing UK water and wastewater service providers, Water UK's website offers insights into the industry's workings, including aspects related to geographical boundaries.Specifications and CaveatsWhen compiling the dataset, the following specifications and caveats were made:This shapefile is intended solely for geospatial analysis. The authoritative legal delineation of areas is maintained in the maps and additional details specified in the official appointments of companies as water and/or sewerage undertakers, along with any alterations to their areas.The shapefile does not encompass data on any structures or properties that, despite being outside the designated boundary, are included in the area, or those within the boundary yet excluded from the area.In terms of geospatial analysis and visual representation, the Mean High Water Line has been utilized to define any boundary extending into the sea, though it's more probable that the actual boundary aligns with the low water mark. Furthermore, islands that are incorporated into the area might not be included in this representation.Ofwat’s data was last updated on 25th May 2022Contact Details If you have a query about this dataset, please email foi@ofwat.gov.uk
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TwitterThe Living Atlas is the foremost collection of geographic information from around the globe. It includes maps, apps, and data layers to support your work. In addition, you can also search other public data published by other organisation within ArcGIS Online.
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TwitterOpen Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
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.
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Twitterhttps://www.ons.gov.uk/methodology/geography/licenceshttps://www.ons.gov.uk/methodology/geography/licences
A web map showing administrative geography hierarchy boundaries in the UK as at 31 December 2022.Boundaries used (BGC) for geographies in Great Britain are generalised (20m) and are clipped to the coastline for Great BritainBoundaries used (BGE) for geographies in Northern Ireland are generalised (20m) and are extent of the realm and are not clipped to the coastline for Northern Ireland.
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TwitterDo you resonate with the following workflow?You've been making your maps using screengrabs from Google Maps and overlaying your annotations on PowerPoint or other third party software.You don't have control over how your map looks and what context you can show your readers.
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TwitterAttribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The 1885 UK parliamentary constituencies for Ireland were re-created in 2017 as part of a conference paper delivered at the Southern Irish Loyalism in Context conference at Maynooth University. The intial map only included the territory of the Irish Free State and was created by Martin Charlton and Jack Kavanagh. The remaining six counties of Ulster were completed by Eoin McLaughlin in 2018-19, the combined result is a GIS map of all the parliamentary constituecies across the island of Ireland for the period 1885-1918. The map is available in both ESRI Shapefile format and as a GeoPackage (GPKG). The methodology for creating the constituencies is outlined in detail below.
A map showing the outlines of the 1855 – 1918 Constituency boundaries can be found on page 401 of Parliamentary Elections in Ireland, 1801-1922 (Dublin, 1978) by Brian Walker. This forms the basis for the creation of a set of digital boundaries which can then be used in a GIS. The general workflow involves allocating an 1885 Constituency identifier to each of the 309 Electoral Divisions present in the boundaries made available for the 2011 Census of Population data release by CSO. The ED boundaries are available in ‘shapefile’ format (a de facto standard for spatial data transfer). Once a Constituency identifier has been given to each ED, the GIS operation known as ‘dissolve’ is used to remove the boundaries between EDs in the same Constituency. To begin with Walker’s map was scanned at 1200 dots per inch in JPEG form. A scanned map cannot be linked to other spatial data without undergoing a process known as georeferencing. The CSO boundaries are available with spatial coordinates in the Irish National Grid system. The goal of georeferencing is to produce a rectified version of the map together with a world file. Rectification refers to the process of recomputing the pixel positions in the scanned map so that they are oriented with the ING coordinate system; the world file contains the extent in both the east-west and north-south directions of each pixel (in metres) and the coordinates of the most north-westerly pixel in the rectified image.
Georeferencing involves the identification of Ground Control Points – these are locations on the scanned map for which the spatial coordinates in ING are known. The Georeferencing option in ArcGIS 10.4 makes this a reasonably pain free task. For this map 36 GCPs were required for a local spline transformation. The Redistribution of Seats Act 1885 provides the legal basis for the constituencies to be used for future elections in England, Wales, Scotland and Ireland. Part III of the Seventh Schedule of the Act defines the Constituencies in terms of Baronies, Parishes (and part Parishes) and Townlands for Ireland. Part III of the Sixth Schedule provides definitions for the Boroughs of Belfast and Dublin.
The CSO boundary collection also includes a shapefile of Barony boundaries. This makes it possible code a barony in two ways: (i) allocated completely to a Division or (ii) split between two Divisions. For the first type, the code is just the division name, and for the second the code includes both (or more) division names. Allocation of these names to the data in the ED shapefile is accomplished by a spatial join operation. Recoding the areas in the split Baronies is done interactively using the GIS software’s editing option. EDs or groups of EDs can be selected on the screen, and the correct Division code updated in the attribute table. There are a handful of cases where an ED is split between divisions, so a simple ‘majority’ rule was used for the allocation. As the maps are to be used at mainly for displaying data at the national level, a misallocation is unlikely to be noticed. The final set of boundaries was created using the dissolve operation mentioned earlier. There were a dozen ED that had initially escaped being allocated a code, but these were quickly updated. Similarly, a few of the EDs in the split divisions had been overlooked; again updating was painless. This meant that the dissolve had to be run a few more times before all the errors have been corrected.
For the Northern Ireland districts, a slightly different methodology was deployed which involved linking parishes and townlands along side baronies, using open data sources from the OSM Townlands.ie project and OpenData NI.
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TwitterRecently a teacher asked the following question about mapping data to OS grid squares. An interesting question, and one that I thought other teachers and students might find useful, so here goes!
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TwitterOur map currently looks overwhelming with too many layers thus making it difficult to understand. We can use cartographic tools to make it not only prettier but also easier to gain valuable information out of.
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Twitterhttps://vocab.nerc.ac.uk/collection/L08/current/UN/https://vocab.nerc.ac.uk/collection/L08/current/UN/
Interactive map service (http://ims.sea.gov.ua:8081/website/Atlas_forAll_en/viewer.htm), based on GIS database ATLAS has been created by UkrSCES to provide an integrated picture of the modern state of the Black Sea coastal zone. It provides information on the geography of NWBS coastal zone and coastal water areas, as well as data on demography, natural resources, economy and pollution. The work is financed under the auspices of the Ministry for Environmental Protection of Ukraine. ATLAS is organised around several themes and elements, comprising interactive maps, statistical data, and descriptions. The cartography is based on the digital topographic chart of Ukraine (scale 1:500,000) and includes the following thematic layers: * Natural resources, * Protected territories, * Pollution resources, * Recreational potential, * Coastal zone. The main part of the descriptive text of ATLAS is drawn from the results of various studies that were undertaken by UkrSCES from 1993 to 2006. ATLAS allows users to select and display information on the resources, state and condition оf the NWBS coastal zone. This interactive service can be employed not only by experts and those responsible for decision-making, but also by the general public. It represents a major contribution to Ukraine's responsibilities under the Aarhus Convention for access to environmental information.
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TwitterA Special Area of Conservation (SAC) is the land designated under Directive 92/43/EEC on the Conservation of Natural Habitats and of Wild Fauna and Flora. Data supplied has the status of "Candidate". The data does not include "Possible" Sites. Boundaries are mapped against Ordnance Survey MasterMap.Full metadata can be viewed on data.gov.uk.
Facebook
TwitterThe 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.