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
dataset
https://data-package.ceh.ac.uk/data/bd3bf607-a3b2-423b-b07b-9c41e84746ee
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https://data-package.ceh.ac.uk/sd/bd3bf607-a3b2-423b-b07b-9c41e84746ee.zip
name: Supporting information
description: Supporting information available to assist in re-use of this dataset
function: information
https://catalogue.ceh.ac.uk/id/bd3bf607-a3b2-423b-b07b-9c41e84746ee
doi:
eng
society
environment
Environmental Monitoring Facilities
publication
2008-06-01
-8.648
1.768
60.861
49.864
publication
2023-06-27
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.
publication
2010-12-08
TIFF
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
https://orcid.org/0000-0003-3141-8795
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description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
function: information
author
Lactuca: Environmental Data Analyses and Modelling
https://orcid.org/0000-0001-9835-6897
name: ORCID record
description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
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author
https://orcid.org/0000-0002-2233-3848
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description: ORCID is an open, non-profit, community-driven effort to create and maintain a registry of unique researcher identifiers and a transparent method of linking research activities and outputs to these identifiers.
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author
simon.willcock@rothamsted.ac.uk
https://orcid.org/0000-0001-9534-9114
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author
publisher
owner
custodian
pointOfContact
Lancaster Environment Centre, Library Avenue, Bailrigg
Lancaster
LA1 4AP
UK
name: EIDC website
description: The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences.
function: information
pointOfContact
2025-03-21T09:25:01