Introducing the UCDP Georeferenced Event Dataset
Bibliographic Data
| ID | 5113531 |
|---|---|
| Authors | Ralph Sundberg (0000-0002-1167-2799, Uppsala University), Erik Melander (0000-0001-5835-0618, Uppsala University, corresponding author) |
| Year | 2013 |
| Volume | 50 |
| Issue | 4 |
| Pages | 523-532 |
| Publication date | 2013-07-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Peace Research (JOURNAL) |
| Journal identifiers | ISSN: 0022-3433 • E-ISSN: 1460-3578 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0022343313484347 |
| OpenAlex | W2106483804 |
| Language | EN |
| Citations received | 615 |
| References cited | 20 |
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
Cartography · Data mining · Data science · Event (particle physics) · Event data · Geography · Geolocation · Georeference · Identifier · Population · Sociology · World Wide Web · Computer Science · Demography · Health and Conflict Studies · Terrorism, Counterterrorism, and Political Violence · Transboundary Water Resource Management
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| Unique citing works | 615 |
|---|---|
| Citations per year | 47,31 |
| Citation span | 2013 - 2026 (14) |
| Citation velocity | current |
| Highly cited | Yes |
| Citation types | Neutral: 599 |