Displaying 1 - 10 of 11
Operations
Qader, Sarchil; Lefebvre, Veronique; Tatem, Andrew; Pape, Utz; Himelein, Kristen; Ninneman, Amy; Bengtsson, Linus; Bird, Tomas. 2021. Semi-automatic mapping of pre-census enumeration areas and population sampling frames. [Humanities and Social Sciences Communications] . 8(1): 3 DOI: https://doi.org/10.1057/s41599-020-00670-0
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export
Archila Bustos, Maria Francisca; Hall, Ola; Niedomysl, Thomas; Ernstson, Ulf. 2020. A pixel level evaluation of five multitemporal global gridded population datasets: a case study in Sweden, 1990–2015. [Population and Environment] . 42: 255-277 DOI: https://doi.org/10.1007/s11111-020-00360-8
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export
Noy, Ilan; Doan, Nguyen; Ferrarini, Benno; Park, Donghyun. 2020. The Economic Risk of COVID-19 in Developing Countries: Where is it Highest?. [LSE Financial Markets Group Paper Series] pp: 13
Related URL(s): http://www.lse.ac.uk/fmg/assets/documents/papers/special-papers/SP257.pdf
SEDAC Data Collection(s):
(Report)
export
Noy, Ilan; Doan, Nguyen; Ferrarini, Benno; Park, Donghyun. 2020. Measuring the economic risk of COVID-19. [Global Policy] . 11(4): 413-423 DOI: https://doi.org/10.1111/1758-5899.12851
SEDAC Data Collection(s):
(Journal Article)
export
Qader, Sarchil Hama; Lefebvre, Veronique; Tatem, Andrew J.; Pape, Utz; Jochem, Warren; Himelein, Kristen; Ninneman, Amy; Wolburg, Philip; Nunez-Chaim, Gonzalo; Bengtsson, Linus; Bird, Tomas. 2020. Using gridded population and quadtree sampling units to support survey sample design in low-income settings. [International Journal of Health Geographics] . 19(1): 10 DOI: https://doi.org/10.1186/s12942-020-00205-5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export
Walsh, Michael G.; Sawleshwarkar, Shailendra; Hossain, Shah; Mor, Siobhan M. 2020. Whence the next pandemic? The intersecting global geography of the animal-human interface, poor health systems and air transit centrality reveals conduits for high-impact spillover. [One Health] . 11: 100177 DOI: https://doi.org/10.1016/j.onehlt.2020.100177
SEDAC Data Collection(s):
gpw-v4
povmap
species
(Journal Article)
export
Yuan, Bocong; Wang, Zhaoguo; Li, Jiannan. 2020. Social vulnerability and infant mortality in space dimension: an investigation of the world’s most underdeveloped West Africa coastal area. [International Journal of Human Rights in Healthcare] . 13(3): 239-248 DOI: https://doi.org/10.1108/IJHRH-10-2019-0077
SEDAC Data Collection(s):
gpw-v4
povmap
wacvm
(Journal Article)
export
Leyk, Stefan; Gaughan, Andrea E.; Adamo, Susana. B.; de Sherbinin, Alexander M.; Balk, Deborah; Freire, Sergio; Rose, Amy; Stevens, Forrest R.; Blankespoor, Brian; Frye, Charlie; Comenetz, Joshua; Sorichetta, Alessandro; MacManus, Kytt; Pistolesi, Linda; Levy, Marc; Tatem, Andrew J. 2019. The spatial allocation of population: a review of large-scale gridded population data products and their fitness for use. [Earth System Science Data] . DOI: https://doi.org/10.5194/essd-11-1385-2019
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export
Merkens, Jan-Ludolf; Vafeidis, Athanasios. 2018. Using information on settlement patterns to improve the spatial distribution of population in coastal impact assessments. [Sustainability] . 10(9): 3170 DOI: https://doi.org/10.3390/su10093170
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export
Weber, Eric M.; Seaman, Vincent Y.; Stewart, Robert N.; Bird, Tomas J.; Tatem, Andrew J.; McKee, Jacob J.; Bhaduri, Budhendra L.; Moehl, Jessica J.; Reith, Andrew E. 2018. Census-independent population mapping in northern Nigeria. [Remote Sensing of Environment] . 204: 786-798 DOI: https://doi.org/10.1016/j.rse.2017.09.024
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export

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