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).
THIS DATASET HAS BEEN WITHDRAWN and superseded by UK Gridded Population 2011 based on Census 2011 and Land Cover Map 2015 (https://catalogue.ceh.ac.uk/id/0995e94d-6d42-40c1-8ed4-5090d82471e1). This dataset contains gridded population with a spatial resolution of 1 km x 1 km for the UK based on Census 2011 and Land Cover Map 2007 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 2011 UK Census population data on Output Area level with Land Cover Map 2007 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).
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Understanding the size and spatial distribution of material stocks is crucial for sustainable resource management and climate change mitigation. This study presents high-resolution maps of buildings and mobility infrastructure stocks for the United Kingdom (UK) and the Republic of Ireland (IRL) at 10 m, combining satellite-based Earth observations, OpenStreetMaps, and material intensities research. Stocks in the UK and IRL amount to 19.8 Gigatons or 279 tons/cap, predominantly aggregate, concrete and bricks, as well as various metals and timber. Building stocks per capita are surprisingly similar across medium to high population density, with only the lowest population densities having substantially larger per capita stocks. Infrastructure stocks per capita decrease with higher population density. Interestingly, for a given building stock within an area, infrastructure stocks are substantially larger in IRL than in the UK. These maps can provide useful insights for sustainable urban planning and advancing a circular economy.
This dataset features a detailed map of material stocks in the United Kingdom and the Republic of Ireland on a 10m grid based on high resolution Earth Observation data (Sentinel-1 + Sentinel-2), crowd-sourced geodata (OSM) and material intensity factors.
Spatial extent
This dataset covers the whole British Isles. Due to processing reasons, the dataset is internally structured into the Island of Ireland, and the Island of Great Britain.
Temporal extent
The map is representative for ca. 2018.
Data format
The data are organized by nations. Within each nation, data are split into 100km x 100km tiles (EQUI7 grid), and mosaics are provided.
Within each tile, images for area, volume, and mass at 10m spatial resolution are provided. Units are m², m³, and t, respectively. Each metric is split into buildings, other, rail and street (note: In the paper, other, rail, and street stocks are subsumed to mobility infrastructure). Each category is further split into subcategories (e.g. building types).
Additionally, a grand total of all stocks is provided at multiple spatial resolutions and units, i.e.
For each nation, mosaics of all above-described data are provided in GDAL VRT format, which can readily be opened in most Geographic Information Systems. File paths are relative, i.e. DO NOT change the file structure or file naming.
Additionally, the grand total mass per nation is tabulated for each island in mass_grand_total_t_10m2.tif.csv. County code and the ID in this table can be related via zones_name_pop.csv.
Material layers
Note that material-specific layers are not included in this repository because of upload limits. Only the totals are provided (i.e. the sum over all materials).
Further information
For further information, please see the publication.
Visit our website to learn more about our project MAT_STOCKS - Understanding the Role of Material Stock Patterns for the Transformation to a Sustainable Society.
Publication
D. Wiedenhofer, F. Schug, H. Gauch, M. Lanau, M. Drewniok, A. Baumgart, D. Virág, H. Watt, A. Cabrera Serrenho, D. Densley Tingley, H. Haberl, D. Frantz (2024): Mapping material stocks of buildings and mobility infrastructure in the United Kingdom and the Republic of Ireland. Resources, Conservation and Recycling 206, 107630. https://doi.org/10.1016/j.resconrec.2024.107630
Funding
This research was primarly funded by the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (MAT_STOCKS, grant agreement No 741950).
Acknowledgments
We thank the European Space Agency and the European Commission for freely and openly sharing Sentinel imagery; Microsoft for Building Footprints; Geofabrik and all contributors for OpenStreetMap.This dataset was partly produced on EODC - we thank Clement Atzberger for supporting the generation of this dataset by sharing disc space on EODC, and Wolfgang Wagner for granting access to preprocessed Sentinel-1 data.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The Birds Directive (Directive 2009/147/EC) came into force in Ireland in 1981. Article 12 of this directive requires Member States to report on the implementation of national provisions taken under this Directive including specific reporting on status and trends of bird species. The first new format Article 12 report was submitted by member states in 2014 covering the four year period 2008 – 2012 inclusive. The Eionet website provides access to the information contained in all the national reports - see http://bd.eionet.europa.eu/article12/.
The reports include a separate report for each individual bird species. If the particular report is describing a breeding population then a breeding distribution and range map forms part the report. Detailed distribution data was primarily derived from the 2007-11 Bird Atlas (via BirdWatch Ireland) but also from species specific projects conducted by NPWS and others. Final 10km and 50km grid mapping was generated from this information by NPWS and by Birdwatch Ireland.
The resources referenced in this metadata relate to these distribution and range mapping for breeding populations in Irish National Grid.
The individual species reports on the Eionet website provide important information on the sources and selection of data to derive the final distributions and ranges.
All enquires on detailed distributions should first be directed to BirdWatch Ireland. NPWS is in a position to release the 10km (and 50km where appropriate) derived grid distribution data.
Details of the Article 12 the related reporting requirements, including reporting format guidance and reference portal are available at http://ec.europa.eu/environment/nature/knowledge/rep_birds/index_en.htm.
The following Data Resources are included in this download, and detailed metadata is available for each resource in the download:
Multipart polygon shapefile showing the national distribution of the all reported breeding bird species. The national grid distributions for the 135 individual species are largely based on the national distributions for these species generated by Birdwatch Ireland for the BirdAtlas2007 to 2011.
Multipart polygon shapefile showing the national range of the all 135 reported breeding bird species.
Range "...describes roughly the spatial limits within which the habitat or species occurs.
Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows two condensed maps which use dots and proportional circles to illustrate the distribution of population of French and British origin, respectively, according to the 1951 census of Canada. Each map is accompanied by a pie chart which shows the British origin and French origin percentage population distribution by province and territory. For Canadian census purposes, a person's origin or cultural group is traced through the father to the paternal ancestor on first arrival to this continent. The term 'British' embraces all those of British Isles origin, that is, it includes those from the United Kingdom of Great Britain and Northern Ireland, the Isle of Man, the Channel Islands and the Republic of Ireland.
Open Government Licence - Canada 2.0https://open.canada.ca/en/open-government-licence-canada
License information was derived automatically
Contained within the 3rd Edition (1957) of the Atlas of Canada is a map that shows two condensed maps which use dots and proportional circles to illustrate the distribution of population of French and British origin, respectively, according to the 1951 census of Canada. Each map is accompanied by a pie chart which shows the British origin and French origin percentage population distribution by province and territory. For Canadian census purposes, a person's origin or cultural group is traced through the father to the paternal ancestor on first arrival to this continent. The term 'British' embraces all those of British Isles origin, that is, it includes those from the United Kingdom of Great Britain and Northern Ireland, the Isle of Man, the Channel Islands and the Republic of Ireland.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Population distribution of PNG by province according to malaria incidence strata, 2019.
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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).