Articles | Volume 13, issue 12
https://doi.org/10.5194/essd-13-5747-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/essd-13-5747-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimating population and urban areas at risk of coastal hazards, 1990–2015: how data choices matter
Kytt MacManus
CORRESPONDING AUTHOR
CIESIN, Columbia University, Palisades, New York, USA
Deborah Balk
CUNY Institute for Demographic Research (CIDR), City University of
New York, New York, New York, USA
Marxe School of Public and International Affairs, Baruch College, City University of New York, New York, New York, USA
Hasim Engin
CIESIN, Columbia University, Palisades, New York, USA
CUNY Institute for Demographic Research (CIDR), City University of
New York, New York, New York, USA
Gordon McGranahan
independent researcher
Rya Inman
Department of Geographical Sciences, University of Maryland, College Park, Maryland, USA
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- Progress and gaps in climate change adaptation in coastal cities across the globe M. Wannewitz et al. 10.1038/s44284-024-00106-9
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Discussed (final revised paper)
Latest update: 21 Nov 2024
Short summary
New estimates of population and land area by settlement types within low-elevation coastal zones (LECZs) based on four sources of population data, four sources of settlement data and four sources of elevation data for the years 1990, 2000 and 2015. The paper describes the sensitivity of these estimates and discusses the fitness of use guiding user decisions. Data choices impact the number of people estimated within LECZs, but across all sources the LECZs are predominantly urban and growing.
New estimates of population and land area by settlement types within low-elevation coastal zones...
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