Displaying 1 - 10 of 14
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
Roni, Rezaul; Jia, Peng. 2020. An optimal population modeling approach using geographically weighted regression based on high-resolution remote sensing data: A case study in Dhaka City, Bangladesh. [Remote Sensing] . 12(7): 1184 DOI: https://doi.org/10.3390/rs12071184
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(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
Bitzer, Jürgen; Gören, Erkan. 2018. Foreign aid and subnational development: A grid cell analysis. [Oldenburg Discussion Papers in Economics] Issue: V-407-18: 71pp
Related URL(s): http://hdl.handle.net/10419/175419
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Report)
export
Lai, Ying-Si; Zhou, Xiao-Nong; Pan, Zhi-Heng; Utzinger, Jürg; Vounatsou, Penelope. 2017. Risk mapping of clonorchiasis in the People’s Republic of China: A systematic review and Bayesian geostatistical analysis. [PLOS Neglected Tropical Diseases] . 11(3): e0005239 DOI: https://doi.org/10.1371/journal.pntd.0005239
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Nkonya, Ephraim; Johnson, Timothy; Kwon, Ho Young; Kato, Edward. 2016. Economics of land degradation in Sub-Saharan Africa. [Economics of Land Degradation and Improvement – A Global Assessment for Sustainable Development] Ed(s): Nkonya, Ephraim; Mirzabaev, Alisher; von Braun, Joachim. pp: 215-259 DOI: https://doi.org/10.1007/978-3-319-19168-3_9
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
povmap
(Book Section)
export
Chammartin, Frédérique; Houngbedji, Clarisse A.; Hürlimann, Eveline; Yapi, Richard B.; Silué, Kigbafori D.; Soro, Gotianwa; Kouamé, Ferdinand N.; N′Goran, Eliézer K.; Utzinger, Jürg; Raso, Giovanna; Vounatsou, Penelope. 2014. Bayesian risk mapping and model-based estimation of Schistosoma haematobium–Schistosoma mansoni co-distribution in Côte d′Ivoire. [PLOS Neglected Tropical Diseases] . 8(12): e3407 DOI: https://doi.org/10.1371/journal.pntd.0003407
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Yamaji, Kazuyo; Ikeda, Kohei; Irie, Hitoshi; Kurokawa, Jun–ichi; Ohara, Toshimasa. 2014. Influence of model grid resolution on NO2 vertical column densities over East Asia. [Journal of the Air & Waste Management Association] . 64(4): 436-444 DOI: https://doi.org/10.1080/10962247.2013.827603
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Journal Article)
export
Bai, Zhanguo; Dent, David; Wu, Yunjin; Jong, Rogier. 2013. Land Degradation and Ecosystem Services. [Ecosystem Services and Carbon Sequestration in the Biosphere] Ed(s): Lal, Rattan; Lorenz, Klaus; Hüttl, Reinhard F.; Schneider, Bernd Uwe; von Braun, Joachim. pp: 357-381 DOI: https://doi.org/10.1007/978-94-007-6455-2_15
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
povmap
(Book Section)
export
van de Sande, Bas; Lansen, Joost; Hoyng, Claartje. 2012. Sensitivity of coastal flood risk assessments to digital elevation models. [Water] . 4(3): 568-579 DOI: https://doi.org/10.3390/w4030568
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
lecz
(Journal Article)
export

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