Modelling armed conflict risk under climate change with machine learning and time-series data

Understanding the risk of armed conflict is essential for promoting peace. Although the relationship between climate variability and armed conflict has been studied by the research community for decades with quantitative and qualitative methods at different spatial and temporal scales, causal linkag...

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Detalles Bibliográficos
Autores principales: Ge, Quansheng, Hao, Mengmeng, Ding, Fangyu, Jiang, Dong, Scheffran, Jürgen, Helman, David, Ide, Tobias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123163/
https://www.ncbi.nlm.nih.gov/pubmed/35595793
http://dx.doi.org/10.1038/s41467-022-30356-x

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9123163/
https://www.ncbi.nlm.nih.gov/pubmed/35595793
http://dx.doi.org/10.1038/s41467-022-30356-x

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