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De Lotto, Roberto; Pietra, Caterina; Venco, Elisabetta M. 2019. Risk analysis: A focus on urban exposure estimation. [Computational Science and Its Applications – ICCSA 2019] Ed(s): Misra, Sanjay; Gervasi, Osvaldo; Murgante, Beniamino; Stankova, Elena; Korkhov, Vladimir; Torre, Carmelo; Rocha, Ana Maria A. C.; Taniar, David; Apduhan, Bernady O.; Tarantino, Eufemia. pp: 407-423 DOI: https://doi.org/10.1007/978-3-030-24296-1_33
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Conference Proceedings)
export
Lazer, Leah. 2019. Rising seas threaten low-lying coastal cities, 10% of world population. [State of the Planet] 2019(20191025)
Related URL(s): https://blogs.ei.columbia.edu/2019/10/25/rising-seas-low-lying-coastal-cities/
SEDAC Data Collection(s):
grump-v1
lecz
(Blog)
export
Nelson, Garrett Dash. 2019. What micro-mapping a city's density reveals. [CityLab] 2019(20190709)
Related URL(s): https://www.citylab.com/perspective/2019/07/urban-density-map-city-population-da…
SEDAC Data Collection(s):
gpw-v4
(Blog)
export
Routley, Nick. 2019. How Facebook is using machine learning to map the world population. [Visual Capitalist] 2019(20190726)
Related URL(s): https://www.visualcapitalist.com/facebook-machine-learning-world-population-map/
SEDAC Data Collection(s):
gpw-v4
(Blog)
export
Cox, Wendell. 2010. How much of the world is covered by cities. [New Geography] 2018(20100723)
Related URL(s): http://www.newgeography.com/content/001689-how-much-world-covered-cities
SEDAC Data Collection(s):
grump-v1
(Blog)
export
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