Displaying 1 - 6 of 6
Operations
Armand, Alex; Gomes, Joseph Flavian; Taveras, Ivan Kim. 2019. Managing Agricultural Risk in Mozambique. International Growth Centre. F-36421-MOZ-1: 28
Related URL(s): https://www.theigc.org/project/managing-agricultural-risk-in-mozambique/
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Report)
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
Cariolle, Joël; Le Goff, Maëlan; Santoni, Olivier. 2019. Digital Vulnerability and Performance of Firms in Developing Countries. [Banque de France Working Paper Series] Banque de France. 709: 43
Related URL(s): https://publications.banque-france.fr/en/digital-vulnerability-and-performance-f…
SEDAC Data Collection(s):
gpw-v4
(Report)
export
Graff, Tilman. 2019. Spatial Inefficiencies in Africa's Trade Network. [National Bureau of Economic Research Working Paper Series] National Bureau of Economic Research. No. 25951: 54 DOI: https://doi.org/10.3386/w25951
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Report)
export
Khandelwal, Ankush; Ghosh, Rahul; Wei, Zhihao; Kuang, Huangying; Kumar, Vipin; Dugan, Hilary; Hanson, Paul; Karpatne, Anuj. 2019. GLADD-R: A new Global Lake Dynamics Database for Reservoirs. University of Minnesota. TR 19-004: 7
Related URL(s): https://www.cs.umn.edu/research/technical_reports/view/19-004
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grand-v1
(Report)
export
Mattsson, Niclas; Verendel, Vilhelm; Hedenus, Fredrik; Reichenberg, Lina. 2019. An Autopilot for Energy Models - Automatic Generation of Renewable Supply Curves, Hourly Capacity Factors and Hourly Synthetic Electricity Demand for Arbitrary World Regions. Chalmers University of Technology. pp: 23
Related URL(s): https://research.chalmers.se/publication/514510
SEDAC Data Collection(s):
gpw-v4
(Report)
export
Export results as CSVXML