Journal of Peace Research · 2013 · 1.2K citations · 20 references
Social SciencesConflict StudiesGeographyConflict AnalysisGeographic Information SystemsSpatial AnalysisConflict In AfricaConflict MappingEvent GeographiesViolenceViolence SurveillanceBiasesDataset DescriptionsFatality LinkageGeographies Of ViolenceOne-sided ViolencePolitical Violence MappingSpatial Conflict AnalysisSpatial Distribution Of Violence
The UCDP GED disaggregates state‑based conflict, non‑state conflict, and one‑sided violence by recording each fatal event’s date, location, and identifiers for linkage to other UCDP datasets. This article introduces the UCDP GED, outlining its rationale, coding procedures, and quality controls. The dataset is constructed through systematic coding of fatal events, with built‑in quality checks, while acknowledging potential weaknesses and biases in representing the full spectrum of organized violence. The first version covers African fatal violence from 1989 to 2010, demonstrates its use in linking cities to violence while accounting for population density, and provides a resource for sub‑state conflict analysis that reveals geographic determinants and temporal patterns.
This article presents the UCDP Georeferenced Event Dataset (UCDP GED). The UCDP GED is an event dataset that disaggregates three types of organized violence (state-based conflict, non-state conflict, and one-sided violence) both spatially and temporally. Each event – defined as an instance of organized violence with at least one fatality – comes with date, geographical location, and identifiers that allow the dataset to be linked to and merged with other UCDP datasets. The first version of the dataset covers events of fatal violence on the African continent between 1989 and 2010. This article, firstly, introduces the rationale for the new dataset, and explains the basic coding procedures as well as the quality controls. Secondly, we discuss some of the data’s potential weaknesses in representing the universe of organized violence, as well as some potential biases induced by the operationalizations. Thirdly, we provide an example of how the data can be used, by illustrating the association between cities and organized violence, taking population density into account. The UCDP GED is a useful resource for conflict analyses below the state and country-year levels, and can provide us with new insights into the geographical determinants and temporal sequencing of warfare and violence.
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Computing, Geography, Geoinformatics +17