bd3bf607-a3b2-423b-b07b-9c41e84746ee English ISO/IEC 8859-1 (also known as Latin 1) dataset dataset NERC EDS Environmental Information Data Centre Lancaster Environment Centre, Library Avenue, Bailrigg Lancaster LA1 4AP UK info@eidc.ac.uk https://eidc.ac.uk/ EIDC website The Environmental Information Data Centre (EIDC) is the UK's national data centre for terrestrial and freshwater sciences. information pointOfContact 2025-11-13T16:24:19 UK GEMINI 2.3 OSGB 1936 / British National Grid Weekly, monthly and yearly recreation demand maps for the UK 2023-06-27 publication https://catalogue.ceh.ac.uk/id/bd3bf607-a3b2-423b-b07b-9c41e84746ee 10.5285/bd3bf607-a3b2-423b-b07b-9c41e84746ee doi: 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 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 Ridding, L.E. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0003-3141-8795 ORCID record 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. information author Hooftman, D.A.P. Lactuca: Environmental Data Analyses and Modelling danny.hooftman@lactuca.nl https://orcid.org/0000-0001-9835-6897 ORCID record 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. information author Redhead, J.W. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk https://orcid.org/0000-0002-2233-3848 ORCID record 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. information author Willcock, S. Rothamsted Research simon.willcock@rothamsted.ac.uk https://orcid.org/0000-0001-9534-9114 ORCID record 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. information author NERC EDS Environmental Information Data Centre info@eidc.ac.uk publisher Rothamsted Research EMAIL NOT PROVIDED owner NERC EDS Environmental Information Data Centre info@eidc.ac.uk custodian Ridding, L.E. UK Centre for Ecology & Hydrology enquiries@ceh.ac.uk pointOfContact Environmental Monitoring Facilities theme GEMET - INSPIRE themes, version 1.0 2008-06-01 publication natural areas protection mapping landscape cultural ecosystem services recreation GEMET - Concepts, version 4.1.3 2019-01-28 creation Mapping UK accessibility protected areas otherRestrictions no limitations otherRestrictions This resource is available under the terms of the Open Government Licence otherRestrictions 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 grid 250 English utf8 society environment -8.648 1.768 49.864 60.861 TIFF NERC EDS Environmental Information Data Centre info@eidc.ac.uk distributor https://data-package.ceh.ac.uk/data/bd3bf607-a3b2-423b-b07b-9c41e84746ee Download the data Download a copy of this data download https://data-package.ceh.ac.uk/sd/bd3bf607-a3b2-423b-b07b-9c41e84746ee.zip Supporting information Supporting information available to assist in re-use of this dataset information dataset dataset Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services 2010-12-08 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.