Displaying 1 - 4 of 4
Operations
Mussetti, Gianluca; Brunner, Dominik; Henne, Stephan; Allegrini, Jonas; Krayenhoff, E. Scott; Schubert, Sebastian; Feigenwinter, Christian; Vogt, Roland; Wicki, Andreas; Carmeliet, Jan. 2020. COSMO-BEP-Tree v1.0: a coupled urban climate model with explicit representation of street trees. [Geoscientific Model Development] . 13: 1685-1710 DOI: https://doi.org/10.5194/gmd-13-1685-2020
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(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
Chammartin, Frédérique; Scholte, Ronaldo G. C.; Malone, John B.; Bavia, Maria E.; Nieto, Prixia; Utzinger, Jürg; Vounatsou, Penelope. 2013. Modelling the geographical distribution of soil-transmitted helminth infections in Bolivia. [Parasites & Vectors] . 6(1): 152 DOI: https://doi.org/10.1186/1756-3305-6-152
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Scholte, Ronaldo G. C.; Schur, Nadine; Bavia, Maria E.; Carvalho, Edgar M.; Chammartin, Frédérique; Utzinger, Jürg; Vounatsou, Penelope. 2013. Spatial analysis and risk mapping of soil-transmitted helminth infections in Brazil, using Bayesian geostatistical models. [Geospatial Health] . 8(1): 97-110 DOI: https://doi.org/10.4081/gh.2013.58
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
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