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      The heterogeneity and change in the urban structure of metropolitan areas in the United States, 1990–2010

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          Abstract

          While the population of the United States has been predominantly urban for nearly 100 years, periodic transformations of the concepts and measures that define urban places and population have taken place, complicating over-time comparisons. We compare and combine data series of officially-designated urban areas, 1990–2010, at the census block-level within Metropolitan Statistical Areas (MSAs) with a satellite-derived consistent series on built-up area from the Global Human Settlement Layer to create urban classes that characterize urban structure and provide estimates of land and population. We find considerable heterogeneity in urban form across MSAs, even among those of similar population size, indicating the inherent difficulties in urban definitions. Over time, we observe slightly declining population densities and increasing land and population in areas captured only by census definitions or low built-up densities, constrained by the geography of place. Nevertheless, deriving urban proxies from satellite-derived built-up areas is promising for future efforts to create spatio-temporally consistent measures for urban land to guide urban demographic change analysis.

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          The rising tide: assessing the risks of climate change and human settlements in low elevation coastal zones

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            Spatially explicit global population scenarios consistent with the Shared Socioeconomic Pathways

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              Wrestling Sprawl to the Ground: Defining and measuring an elusive concept

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                Author and article information

                Contributors
                stefan.Leyk@colorado.edu
                deborah.balk@baruch.cuny.edu
                Journal
                Sci Data
                Sci Data
                Scientific Data
                Nature Publishing Group UK (London )
                2052-4463
                16 December 2019
                16 December 2019
                2019
                : 6
                : 321
                Affiliations
                [1 ]ISNI 0000000096214564, GRID grid.266190.a, Department of Geography, , University of Colorado, ; Boulder, USA
                [2 ]ISNI 0000 0001 2188 3760, GRID grid.262273.0, CUNY Institute for Demographic Research and Baruch College, Marxe School of International and Public Affairs, , City University of New York, ; New York, USA
                [3 ]ISNI 0000 0001 2216 9681, GRID grid.36425.36, Stony Brook University and Population Council, ; New York, USA
                [4 ]ISNI 0000000122985718, GRID grid.212340.6, CUNY Institute for Demographic Research, ; New York, USA
                Author information
                http://orcid.org/0000-0001-9180-4853
                http://orcid.org/0000-0002-9028-7898
                Article
                329
                10.1038/s41597-019-0329-6
                6915769
                31844062
                4c8eed00-284d-43cb-a321-d7dadde01e23
                © The Author(s) 2019

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 June 2019
                : 21 November 2019
                Funding
                Funded by: National Science Foundation (US) 1416860
                Funded by: FundRef https://doi.org/10.13039/100000308, Carnegie Corporation of New York (CCNY);
                Award ID: G-F-16-53680
                Award Recipient :
                Funded by: FundRef https://doi.org/10.13039/100000001, National Science Foundation (NSF);
                Award ID: 1416860
                Award ID: 1314040
                Award ID: 1416860
                Award Recipient :
                Categories
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                © The Author(s) 2019

                geography,environmental social sciences
                geography, environmental social sciences

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