Displaying 1 - 5 of 5
Operations
Billing, Trey. 2020. The Demand for Aid and the Supply of Development. [Department of Government and Politics] McCauley, John F. Ph.D.: 148 DOI: https://doi.org/10.13016/lvfh-f6wu
SEDAC Data Collection(s):
gpw-v3
(Thesis)
export
DeRousseau, Mikaela Ann. 2020. Concrete Mixture Design Using Machine Learning, Life Cycle Assessment, and Multi-Objective Optimization. [Civil, Architectural, and Environmental Engineering] Kasprzyk, Joseph; Srubar, Wil. Ph.D.: 170
Related URL(s): http://ezproxy.cul.columbia.edu/login
SEDAC Data Collection(s):
usgrid
(Thesis)
export
Khandelwal, Ankush; Karpatne, Anuj; Wei, Zhihao; Ghosh, Rahul; Kuang, Huangying; Cutler, Kelly; Dugan, Hilary; Hanson, Paul; Kumar, Vipin. 2020. ReaLSAT-R: A new Reservoir Surface Area Dynamics Database created using Machine Learning and Satellite Imagery.
Related URL(s): https://ai4earthscience.github.io/iclr-2020-workshop/papers/ai4earth28.pdf
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Conference Paper)
export
Macdonald, Bobbie Neil James. 2020. Room to Move: Political Accountability of “Lawmakers” in the Kenya National Assembly, 1998-2019. [Political Science] Weinstein, Jeremy M. pp: 151
Related URL(s): https://searchworks.stanford.edu/view/13680879
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Thesis)
export
Wilkins, Emily J. 2020. Using Social Media to Assess the Impact of Weather and Climate on Visitation to Outdoor Recreation Settings. [Environment and Society] Smith, Jordan W. Ph.D.: 179 DOI: https://doi.org/10.26076/adf6-c83d
SEDAC Data Collection(s):
usgrid
(Thesis)
export
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