Replication Data for: Predicting non-state terrorism worldwide
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Replication Data for: Predicting non-state terrorism worldwide
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Identifier |
https://doi.org/10.7910/DVN/DZLCNY
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Creator |
Python, Andre
Bender, Andreas Nandi, Anita K. Hancock, Penelope A. Arambepola, Rohan Brandsch, Jürgen Lucas, Tim C. D. |
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Publisher |
Harvard Dataverse
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Description |
This folder contains all files required to replicate the work "Predicting non-state terrorism worldwide".
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Subject |
Mathematical Sciences
Social Sciences terrorism non-state terrorism political violence machine learning interpretable machine learning prediction spatiotemporal modelling |
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Contributor |
Python, Andre
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