دورية أكاديمية
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Dasymetric population mapping based on US census data and 30-m gridded estimates of impervious surface.

التفاصيل البيبلوغرافية
العنوان: Dasymetric population mapping based on US census data and 30-m gridded estimates of impervious surface.
المؤلفون: Swanwick RH; National Socio-Environmental Synthesis Center, Annapolis, MD, 21401, USA. rachelswanwick11@gmail.com.; Rubenstein School of Environment and Natural Resources, University of Vermont, Burlington, VT, 05405, USA. rachelswanwick11@gmail.com., Read QD; National Socio-Environmental Synthesis Center, Annapolis, MD, 21401, USA.; Agricultural Research Service, United States Department of Agriculture, Raleigh, NC, 27606, USA., Guinn SM; Integration and Application Network, University of Maryland Center for Environmental Science, Annapolis, MD, 21403, USA.; Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, 21532, USA., Williamson MA; Human-Environment Systems, Boise State University, Boise, ID, 83725, USA., Hondula KL; National Socio-Environmental Synthesis Center, Annapolis, MD, 21401, USA.; Center for Global Discovery and Conservation Science, Arizona State University, Tempe, AZ, 85287, USA., Elmore AJ; National Socio-Environmental Synthesis Center, Annapolis, MD, 21401, USA. aelmore@umces.edu.; Integration and Application Network, University of Maryland Center for Environmental Science, Annapolis, MD, 21403, USA. aelmore@umces.edu.; Appalachian Laboratory, University of Maryland Center for Environmental Science, Frostburg, MD, 21532, USA. aelmore@umces.edu.
المصدر: Scientific data [Sci Data] 2022 Aug 27; Vol. 9 (1), pp. 523. Date of Electronic Publication: 2022 Aug 27.
نوع المنشور: Journal Article
اللغة: English
بيانات الدورية: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101640192 Publication Model: Electronic Cited Medium: Internet ISSN: 2052-4463 (Electronic) Linking ISSN: 20524463 NLM ISO Abbreviation: Sci Data Subsets: PubMed not MEDLINE; MEDLINE
أسماء مطبوعة: Original Publication: London : Nature Publishing Group, 2014-
مستخلص: Assessment of socio-environmental problems and the search for solutions often require intersecting geospatial data on environmental factors and human population densities. In the United States, Census data is the most common source for information on population. However, timely acquisition of such data at sufficient spatial resolution can be problematic, especially in cases where the analysis area spans urban-rural gradients. With this data release, we provide a 30-m resolution population estimate for the contiguous United States. The workflow dasymetrically distributes Census block level population estimates across all non-transportation impervious surfaces within each Census block. The methodology is updatable using the most recent Census data and remote sensing-based observations of impervious surface area. The dataset, known as the U.G.L.I (updatable gridded lightweight impervious) population dataset, compares favorably against other population data sources, and provides a useful balance between resolution and complexity.
(© 2022. The Author(s).)
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معلومات مُعتمدة: DBI-1639145 National Science Foundation (NSF); DBI-1639145 National Science Foundation (NSF); OIA-1757324 National Science Foundation (NSF); DBI-1639145 National Science Foundation (NSF); OIA-1757324 National Science Foundation (NSF)
تواريخ الأحداث: Date Created: 20220827 Date Completed: 20220830 Latest Revision: 20220914
رمز التحديث: 20231215
مُعرف محوري في PubMed: PMC9422266
DOI: 10.1038/s41597-022-01603-z
PMID: 36030258
قاعدة البيانات: MEDLINE
الوصف
تدمد:2052-4463
DOI:10.1038/s41597-022-01603-z