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Modelling armed conflict risk under climate change with machine learning and time-series data
- Source :
- Nature Communications, Vol 13, Iss 1, Pp 1-8 (2022)
- Publication Year :
- 2022
- Publisher :
- Nature Portfolio, 2022.
-
Abstract
- Using machine learning, the authors reveal that stable background conditions explain most variation in armed conflict risk worldwide. Positive temperature deviations and precipitation extremes also increase the risk of conflict onset and incidence.
- Subjects :
- Science
Subjects
Details
- Language :
- English
- ISSN :
- 20411723
- Volume :
- 13
- Issue :
- 1
- Database :
- Directory of Open Access Journals
- Journal :
- Nature Communications
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.5e19576afdfc44de9ca627a6606fdbe8
- Document Type :
- article
- Full Text :
- https://doi.org/10.1038/s41467-022-30356-x