Displaying 1 - 10 of 10
Operations
Deka, Mark A. 2020. Mapping the geographic distribution of Tungiasis in Sub-Saharan Africa. [Tropical Medicine and Infectious Disease] . 5(3): 122 DOI: https://doi.org/10.3390/tropicalmed5030122
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
povmap
(Journal Article)
export
Lin, Ping; Yang, Lu; Zhao, Shuqing. 2020. Urbanization effects on Chinese mammal and amphibian richness: a multi-scale study using the urban-rural gradient approach. [Environmental Research Communications] . 2(12): 125002 DOI: https://doi.org/10.1088/2515-7620/abd1c5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
species
(Journal Article)
export
Manacorda, Marco; Tesei, Andrea. 2020. Liberation technology: Mobile phones and political mobilization in Africa. [Econometrica] . 88(2): 533-567 DOI: https://doi.org/10.3982/ecta14392
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
povmap
(Journal Article)
export
Rezaeedaryakenari, Babak; Landis, Steven T.; Thies, Cameron G. 2020. Food price volatilities and civilian victimization in Africa. [Conflict Management and Peace Science] . 37(2): 193-214 DOI: https://doi.org/10.1177/0738894217729527
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
groads
povmap
(Journal Article)
export
Cairns, Stephen; Chen, Ting. 2019. Cartographic technique and Artifice: The case of the Chengdu Plain. [Future Cities Laboratory: Indicia 02] Ed(s): Cairns, Stephen; Tunas, Devisari. pp: 191-199 DOI: https://doi.org/10.3929/ethz-b-000353122
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
hanpp
povmap
(Book Section)
export
Hulley, Glynn; Shivers, Sarah; Wetherley, Erin; Cudd, Robert. 2019. New ECOSTRESS and MODIS land surface temperature data reveal fine-scale heat vulnerability in cities: A case study for Los Angeles County, California. [Remote Sensing] . 11(18): 2136 DOI: https://doi.org/10.3390/rs11182136
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Lai, Ying-Si; Biedermann, Patricia; Shrestha, Akina; Chammartin, Frédérique; à Porta, Natacha; Montresor, Antonio; Mistry, Nerges F.; Utzinger, Jürg; Vounatsou, Penelope. 2019. Risk profiling of soil-transmitted helminth infection and estimated number of infected people in South Asia: A systematic review and Bayesian geostatistical Analysis. [PLOS Neglected Tropical Diseases] . 13(8): e0007580 DOI: https://doi.org/10.1371/journal.pntd.0007580
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Myer, Mark H.; Johnston, John M. 2019. Spatiotemporal Bayesian modeling of West Nile virus: Identifying risk of infection in mosquitoes with local-scale predictors. [Science of The Total Environment] . 650: 2818-2829 DOI: https://doi.org/10.1016/j.scitotenv.2018.09.397
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
Walsh, Michael G; Mor, Siobhan M; Maity, Hindol; Hossain, Shah. 2019. Forest loss shapes the landscape suitability of Kyasanur Forest disease in the biodiversity hotspots of the Western Ghats, India. [International Journal of Epidemiology] . 48(6): 1804-1814 DOI: https://doi.org/10.1093/ije/dyz232
Uses Remote Sensing: yes
SEDAC Data Collection(s):
species
(Journal Article)
export
Zou, Yufei; O’Neill, Susan M.; Larkin, Narasimhan K.; Alvarado, Ernesto C.; Solomon, Robert; Mass, Clifford; Liu, Yang; Odman, M. Talat; Shen, Huizhong. 2019. Machine learning-based integration of high-resolution wildfire smoke simulations and observations for regional health impact assessment. [International Journal of Environmental Research and Public Health] . 16(12): 2137 DOI: https://doi.org/10.3390/ijerph16122137
Uses Remote Sensing: yes
SEDAC Data Collection(s):
usgrid
(Journal Article)
export
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