Displaying 1 - 6 of 6
Operations
Bissiri, Mounirah; Moura, Pedro; Figueiredo, Nuno Carvalho; Pereira da Silva, Patrícia. 2020. A geospatial approach towards defining cost-optimal electrification pathways in West Africa. [Energy] . 200: 117471 DOI: https://doi.org/10.1016/j.energy.2020.117471
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(Journal Article)
export
Duarte-Guardia, Sandra; Peri, Pablo; Amelung, Wulf; Thomas, Evert; Borchard, Nils; Baldi, German; Cowie, Annette; Ladd, Brenton. 2020. Biophysical and socioeconomic factors influencing soil carbon stocks: a global assessment. [Mitigation and Adaptation Strategies for Global Change] . 25: 1129-1148 DOI: https://doi.org/10.1007/s11027-020-09926-1
SEDAC Data Collection(s):
(Journal Article)
export
Florczyk, A. J.; Melchiorri, M.; Zeidler, J.; Corbane, C.; Schiavina, M.; Freire, S.; Sabo, F.; Politis, P.; Esch, T.; Pesaresi, M. 2020. The Generalised Settlement Area: mapping the Earth surface in the vicinity of built-up areas. [International Journal of Digital Earth] . 13(1): 45-60 DOI: https://doi.org/10.1080/17538947.2018.1550121
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(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
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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