NERC Data Catalogue Service
Weekly, monthly and yearly recreation demand maps for the UK
This dataset contains recreation demand maps for the UK based on weekly, monthly and yearly visit frequencies. Recreation includes activities such as walking, hiking, cycling, etc, i.e., ‘outdoor non-vehicular recreation’. Recreation demand was calculated as the number of projected visits for local recreation, estimated using the universal law of human mobility (Schläpfer et al., 2021, Nature). Recreation demand maps are supplied at 250 m resolution in a British National Grid transverse Mercator projection (EPSG 27700). For each visit frequency (weekly, monthly and yearly), there is a map with and without attractiveness included in the calculation, where protected areas are used a proxy for attractiveness. This research was funded by the Natural Environment Research Council (NERC) under research programme NE/W005050/1 AgZero+ : Towards sustainable, climate-neutral farming. AgZero+ is an initiative jointly supported by NERC and the Biotechnology and Biological Sciences Research Council (BBSRC). Full details about this dataset can be found at
https://doi.org/10.5285/bd3bf607-a3b2-423b-b07b-9c41e84746ee
Simple
- Date (Publication)
- 2023-06-27
- Identifier
- doi: / 10.5285/bd3bf607-a3b2-423b-b07b-9c41e84746ee
- Other citation details
- Ridding, L.E., Hooftman, D.A.P., Redhead, J.W., Willcock, S. (2023). Weekly, monthly and yearly recreation demand maps for the UK. NERC EDS Environmental Information Data Centre 10.5285/bd3bf607-a3b2-423b-b07b-9c41e84746ee
Author
Lactuca: Environmental Data Analyses and Modelling
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Hooftman, D.A.P.
https://orcid.org/0000-0001-9835-6897
- GEMET - INSPIRE themes, version 1.0
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- Environmental Monitoring Facilities
- Access constraints
- otherRestrictions Other restrictions
- Other constraints
- no limitations
- Use constraints
- otherRestrictions Other restrictions
- Use constraints
- otherRestrictions Other restrictions
- Other constraints
- If you reuse this data, you should cite: Ridding, L.E., Hooftman, D.A.P., Redhead, J.W., Willcock, S. (2023). Weekly, monthly and yearly recreation demand maps for the UK. NERC EDS Environmental Information Data Centre https://doi.org/10.5285/bd3bf607-a3b2-423b-b07b-9c41e84746ee
- Spatial representation type
- grid Grid
- Distance
- 250 urn:ogc:def:uom:EPSG::9001
- Metadata language
- EnglishEnglish
- Character set
- utf8 UTF8
- Topic category
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- Society
- Environment
N
S
E
W
))
- Unique resource identifier
- OSGB 1936 / British National Grid
- Distribution format
-
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TIFF
()
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TIFF
()
- OnLine resource
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Download the data
Download a copy of this data
- OnLine resource
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Supporting information
Supporting information available to assist in re-use of this dataset
- Hierarchy level
- dataset Dataset
- Other
- dataset
Conformance result
- Date (Publication)
- 2010-12-08
- Statement
- Predicted recreation demand was expressed as the total number of projected visits for local recreation in target cells. To estimate the total number of projected visits in each 250 m target cell, a bespoke version of the universal law of human mobility was used (Schläpfer et al., 2021), as seen in the function below: Demand_i = Attractiveness_i × ∑ |j=1 to j= all| [(Population_j) / ((Frequency_ij × Traveling distance_ij)^∝)] with i the target cell, j the source cell and the scaling factor α = 2.17, following Schläpfer et al. (2021); frequency is expressed as number of visits per year; travelling distance in kilometres. The distance decay gravity function considers the number of visits to single target cells (i) depending on the "Population" size in a source cell (j), corrected by the "Traveling distance" from that source cell to the target cell and the "Attractiveness" of the target cell – the assumed relative likelihood of visiting that target cell. Traveling distance was estimated non-Euclidean, as a cost-weighted distance using the UK road network in 2.5 km cells and the distance to the nearest road within cells. The number of visits per year from the source cell to the target cell, i.e. the Frequency, is also included (weekly, monthly and yearly), since people tend to visit more often where there is a shorter distance to travel. Thus, for a given distance more predicted visits will arise from more densely populated cells compared with less populated cells, whereas at shorter distances more visits are predicted than at longer distances for a given source population density. For each target cell, the equation is summed over all potential source cells. See documentation accompanying the data for a detailed description of the data used for each parameter in the equation.
- File identifier
- bd3bf607-a3b2-423b-b07b-9c41e84746ee XML
- Metadata language
- EnglishEnglish
- Character set
- ISO/IEC 8859-1 (also known as Latin 1) 8859 Part 1
- Hierarchy level
- dataset Dataset
- Hierarchy level name
- dataset
- Date stamp
- 2025-03-21T09:25:01
- Metadata standard name
- UK GEMINI
- Metadata standard version
- 2.3
Point of contact
NERC EDS Environmental Information Data Centre
Lancaster Environment Centre, Library Avenue, Bailrigg
,
Lancaster
,
LA1 4AP
,
UK
https://eidc.ac.uk/
Overviews
Spatial extent
N
S
E
W
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