Displaying 1 - 5 of 5
Operations
Chen, Li; Gao, Shuang; Zhang, Hui; Sun, Yanling; Ma, Zhenxing; Vedal, Sverre; Mao, Jian; Bai, Zhipeng. 2018. Spatiotemporal modeling of PM2.5 concentrations at the national scale combining land use regression and Bayesian maximum entropy in China. [Environment International] . 116: 300-307 DOI: https://doi.org/10.1016/j.envint.2018.03.047
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Ducheyne, Els; Tran Minh, Nhu Nguyen; Haddad, Nabil; Bryssinckx, Ward; Buliva, Evans; Simard, Frédéric; Malik, Mamunur Rahman; Charlier, Johannes; De Waele, Valérie; Mahmoud, Osama; Mukhtar, Muhammad; Bouattour, Ali; Hussain, Abdulhafid; Hendrickx, Guy; Roiz, David. 2018. Current and future distribution of Aedes aegypti and Aedes albopictus (Diptera: Culicidae) in WHO Eastern Mediterranean Region. [International Journal of Health Geographics] . 17(1): 13pp DOI: https://doi.org/10.1186/s12942-018-0125-0
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
Weiss, Daniel; Nelson, Andrew; Gibson, Harry S.; Temperley, W.; Peedell, S.; Lieber, A.; Hancher, Matt; Poyart, E.; Belchior, S.; Fullman, N.; Mappin, B.; Dalrymple, Ursula; Rozier, Jennifer; Lucas, Timothy C. D.; Howes, Rosalind E.; Tusting, Lucy S.; Kang, Su Y.; Cameron, Ewan; Bisanzio, D.; Battle, Katherine E.; Bhatt, Samir; Gething, Peter W. 2018. A global map of travel time to cities to assess inequalities in accessibility in 2015. [Nature] . 553: 333-336 DOI: https://doi.org/10.1038/nature25181
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Journal Article)
export
Chammartin, Frédérique; Guimarães, Luiz H.; Scholte, Ronaldo G. C.; Bavia, Maria E.; Utzinger, Jürg; Vounatsou, Penelope. 2014. Spatio-temporal distribution of soil-transmitted helminth infections in Brazil. [Parasites & Vectors] . 7(1): 440 DOI: https://doi.org/10.1186/1756-3305-7-440
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Mallik, C.; Lal, S. 2014. Seasonal characteristics of SO2, NO2, and CO emissions in and around the Indo-Gangetic Plain. [Environmental Monitoring and Assessment] . 186(2): 1295-1310 DOI: https://doi.org/10.1007/s10661-013-3458-y
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
(Journal Article)
export
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