Displaying 1 - 5 of 5
Operations
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
Breckner, Miriam. 2019. Climatic and Geographic Determinants of Economic Development. [Economics] Sunde, Uwe. Ph.D.(ediss:23734): 155
Related URL(s): https://edoc.ub.uni-muenchen.de/23734/
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Thesis)
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
Williams, Rob. 2019. The Geography of Secession. [Political Science] Crecenzi, Mark J. C. Ph.D.: 162 DOI: https://doi.org/10.17615/1ysh-sk68
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
gpw-v4
(Thesis)
export
Hancher, Matt. 2017. The Gridded Population of the World in the Google Earth Engine. [Medium] 2018(20170103)
Related URL(s): https://medium.com/google-earth/the-global-population-of-the-world-ae8b8b362c99
SEDAC Data Collection(s):
gpw-v4
(Blog)
export
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