Modelling armed conflict risk under climate change with machine learning and time-series data
oleh: Quansheng Ge, Mengmeng Hao, Fangyu Ding, Dong Jiang, Jürgen Scheffran, David Helman, Tobias Ide
| Format: | Article |
|---|---|
| Diterbitkan: | Nature Portfolio 2022-05-01 |
Deskripsi
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.