Projecting armed conflict risk in Africa towards 2050 along the SSP-RCP scenarios: a machine learning approach

Projecting armed conflict risk in Africa towards 2050 along the SSP-RCP scenarios: a machine learning approach

In the past decade, several efforts have been made to project armed conflict risk into the future. This study broadens current approaches by presenting a first-of-its-kind application of machine learning (ML) methods to project sub-national armed conflict risk over the African continent along three...

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Detalhes bibliográficos
Principais autores: Jannis M Hoch, Sophie P de Bruin, Halvard Buhaug, Nina Von Uexkull, Rens van Beek, Niko Wanders
Formato: Artigo
Idioma:English
Publicado em: IOP Publishing 2021-01-01
coleção:Environmental Research Letters
Assuntos:
conflict risk
climate change
machine learning
water security
scenarios
Acesso em linha:https://doi.org/10.1088/1748-9326/ac3db2

Internet

https://doi.org/10.1088/1748-9326/ac3db2

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