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PRIO Conflict Site 1989–2008: A Geo-Referenced Dataset on Armed Conflict

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  • Johan Dittrich Hallberg

Abstract

This article presents PRIO Conflict Site, a geo-referenced dataset on armed conflict, which provides geographic information on the location, scope, and size of all conflicts in the UCDP/PRIO Armed Conflict Dataset, 1989–2008. In contrast to earlier efforts to map the incidence of conflicts, this dataset is structured in a country-year format that accounts for the temporal dynamics of conflicts. The article reveals that unlike the well-known post-Cold War decline of conflict, there is no contemporaneous decline in the spatial extent of conflict. Furthermore, it is shown that governmental conflicts are more dynamic, both in terms of location and scope, than separatist conflicts.

Suggested Citation

  • Johan Dittrich Hallberg, 2012. "PRIO Conflict Site 1989–2008: A Geo-Referenced Dataset on Armed Conflict," Conflict Management and Peace Science, Peace Science Society (International), vol. 29(2), pages 219-232, April.
    • Handle: RePEc:sae:compsc:v:29:y:2012:i:2:p:219-232
    DOI: 10.1177/0738894211433168
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    References listed on IDEAS

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    1. Bethany Lacina & Nils Petter Gleditsch, 2005. "Monitoring Trends in Global Combat: A New Dataset of Battle Deaths," European Journal of Population, Springer;European Association for Population Studies, vol. 21(2), pages 145-166, June.
    2. Nils B. Weidmann & Doreen Kuse & Kristian Skrede Gleditsch, 2010. "The Geography of the International System: The CShapes Dataset," International Interactions, Taylor & Francis Journals, vol. 36(1), pages 86-106, February.
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    Cited by:

    1. Haass, Felix & Ottmann, Martin, 2017. "Profits from Peace: The Political Economy of Power-Sharing and Corruption," World Development, Elsevier, vol. 99(C), pages 60-74.
    2. Paul Bezerra & Alex Braithwaite, 2016. "Locating foreign aid commitments in response to political violence," Public Choice, Springer, vol. 169(3), pages 333-355, December.
    3. Mat'uv{s} Maciak & Ostap Okhrin & Michal Pev{s}ta, 2019. "Infinitely Stochastic Micro Forecasting," Papers 1908.10636, arXiv.org, revised Sep 2019.

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