TY - JOUR
T1 - The PAD-US-AR dataset
T2 - Measuring accessible and recreational parks in the contiguous United States
AU - Browning, Matthew H.E.M.
AU - Rigolon, Alessandro
AU - Ogletree, Scott
AU - Wang, Ruoyu
AU - Klompmaker, Jochem O.
AU - Bailey, Christopher
AU - Gagnon, Ryan
AU - James, Peter
N1 - Funding Information:
The authors are incredibly grateful for the time and attention Kuiran Zhang and Fu Li (Clemson University Virtual Reality & Nature Lab, Clemson, SC) paid to the quality assurance quality control check of the R scripts and results. The authors also thank the following individuals for consulting on the curation of state trust lands: Jordan Smith, Associate Professor in the Environment and Society Department and Director of the Institute for Outdoor Recreation and Tourism, Utah State University, Logan; Ben Lawhon, Senior Director of Research and Consulting, Leave No Trace, Boulder, CO; and Liz “Snorkel” Thomas, professional hiker, author, and speaker, www.eathomas.com. Last, the authors thank Clemson University for its allotment of computing time on the Palmetto Cluster.
PY - 2022/12/16
Y1 - 2022/12/16
N2 - Most spatial epidemiological studies of nature-health relationships use generalized greenspace measures. For instance, coarse-resolution spatial data containing normalized difference vegetative index (NDVI) values are prominent despite criticisms, such as the inability to restrain exposure estimates to public and private land. Non-threatening natural landscapes can improve health by building capacities for health-promoting behaviors. Recreational and accessible parks may best activate such behaviors. We curated the Parks and Protected Areas Database of the U.S. (PAD-US) to identify parks that are accessible for outdoor recreation. Our title adds “AR” to “PAD-US” where A = Accessible and R = Recreational. We validated the PAD-US-AR by comparisons with greenspace datasets and sociodemographics, which demonstrated its uniqueness from other commonly employed metrics of nature exposure. The PAD-US-AR presents reliable estimates of parks in the contiguous U.S. that are accessible for outdoor recreation. It has strong associations with home prices, shares of female residents, and shares of older residents. This dataset can accompany other nature exposure metrics in environmental epidemiology and allied research fields.
AB - Most spatial epidemiological studies of nature-health relationships use generalized greenspace measures. For instance, coarse-resolution spatial data containing normalized difference vegetative index (NDVI) values are prominent despite criticisms, such as the inability to restrain exposure estimates to public and private land. Non-threatening natural landscapes can improve health by building capacities for health-promoting behaviors. Recreational and accessible parks may best activate such behaviors. We curated the Parks and Protected Areas Database of the U.S. (PAD-US) to identify parks that are accessible for outdoor recreation. Our title adds “AR” to “PAD-US” where A = Accessible and R = Recreational. We validated the PAD-US-AR by comparisons with greenspace datasets and sociodemographics, which demonstrated its uniqueness from other commonly employed metrics of nature exposure. The PAD-US-AR presents reliable estimates of parks in the contiguous U.S. that are accessible for outdoor recreation. It has strong associations with home prices, shares of female residents, and shares of older residents. This dataset can accompany other nature exposure metrics in environmental epidemiology and allied research fields.
UR - http://www.scopus.com/inward/record.url?scp=85144153759&partnerID=8YFLogxK
U2 - 10.1038/s41597-022-01857-7
DO - 10.1038/s41597-022-01857-7
M3 - Article
C2 - 36526628
AN - SCOPUS:85144153759
SN - 2052-4463
VL - 9
JO - Scientific Data
JF - Scientific Data
IS - 1
M1 - 773
ER -