Displaying 1 - 10 of 15
Operations
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
Sanderson, Eric W.; Moy, Jesse; Rose, Courtney; Fisher, Kim; Jones, Bryan; Balk, Deborah; Clyne, Peter; Miquelle, Dale; Walston, Joseph. 2019. Implications of the shared socioeconomic pathways for tiger (Panthera tigris) conservation. [Biological Conservation] . 231: 13-23 DOI: https://doi.org/10.1016/j.biocon.2018.12.017
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Journal Article)
export
Barbier, Edward B.; Hochard, Jacob P. 2018. Poverty, rural population distribution and climate change. [Environment and Development Economics] . 23(3): 234-256 DOI: https://doi.org/10.1017/S1355770X17000353
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Journal Article)
export
Barbier, Edward B.; Hochard, Jacob P. 2018. The impacts of climate change on the poor in disadvantaged regions. [Review of Environmental Economics and Policy] . 12(1): 26-47 DOI: https://doi.org/10.1093/reep/rex023
SEDAC Data Collection(s):
gpw-v3
grump-v1
lecz
povmap
(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
Karagiannis-Voules, Dimitrios-Alexios; Odermatt, Peter; Biedermann, Patricia; Khieu, Virak; Schär, Fabian; Muth, Sinuon; Utzinger, Jürg; Vounatsou, Penelope. 2015. Geostatistical modelling of soil-transmitted helminth infection in Cambodia: Do socioeconomic factors improve predictions?. [Acta Tropica] . 141(Part B): 204-212 DOI: https://doi.org/10.1016/j.actatropica.2014.09.001
SEDAC Data Collection(s):
(Journal Article)
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
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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