Displaying 1 - 10 of 10
Operations
Aldhous, Peter. 2019. These maps show how many cities are much hotter than their surroundings. [BuzzFeed.News] 2019(20190719)
Related URL(s): https://www.buzzfeednews.com/article/peteraldhous/summer-urban-heat-island-maps
SEDAC Data Collection(s):
sdei
(Blog)
export
Bajaj, Shaurya; Geraldine Bessie Amali, D. 2019. Species environmental niche distribution modeling for Panthera Tigris Tigris ‘Royal Bengal Tiger’ using machine learning. [Emerging Research in Computing, Information, Communication and Applications] Ed(s): Shetty, N. R.; Patnaik, L. M.; Nagaraj, H. C.; Hamsavath, Prasad Naik; Nalini, N. pp: 251-263 DOI: https://doi.org/10.1007/978-981-13-5953-8_22
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Proceedings)
export
De Lotto, R.; Pietra, C.; Venco, E. M. 2019. Open source data and tools for disaster risk management: Definition of urban exposure index. [Pedestrians, Urban Spaces and Health: Proceedings of the XXIV International Conference on Living and Walking in Cities (LWC, September 12-13, 2019, Brescia, Italy)] Ed(s): Tiza, Maurizio; Pezzagno, Michèle; Richiedei, Anna. pp: 127-131
Related URL(s): https://www.routledge.com/Pedestrians-Urban-Spaces-and-Health-Proceedings-of-the…
SEDAC Data Collection(s):
groads
(Conference Proceedings)
export
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
Sydor, Elisabeth. 2019. High-Resolution Data Products Help Illuminate Urbanization's Reach. [State of the Planet] 2019(2/26/2019)
Related URL(s): https://blogs.ei.columbia.edu/2019/02/26/data-impervious-surfaces-urban-extents/
SEDAC Data Collection(s):
ulandsat
(Blog)
export
Yoza-Mitsuishi, Nadia; Sun, Ruoyu; Mathys, Peter. 2019. Spectrum sharing between WLANs and fixed microwave links in 6 and 13 GHz bands: a case study. [2019 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN)] pp: 1-7 DOI: https://doi.org/10.1109/DySPAN.2019.8935662
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Conference Proceedings)
export
Cowden, J.R.; Mihelcic, James R.; Watkins, D.W. 2006. Domestic rainwater harvesting assessment to improve water supply and health in Africa's urban slums. [World Environmental and Water Resource Congress 2006] Ed(s): Graham, Randall. pp: 10 DOI: https://doi.org/10.1061/40856(200)369
SEDAC Data Collection(s):
grump-v1
(Conference Proceedings)
export
Export results as CSVXML