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date: 16 January 2021

The Spatial Analysis of Warlocked

  • Clionadh Raleigh, Clionadh RaleighDepartment of Geography, University of Sussex
  • Frank D. W. WitmerFrank D. W. WitmerDepartment of Computer Science & Engineering, University of Alaska Anchorage
  •  and John O’LoughlinJohn O’LoughlinDepartment of Geography, University of Colorado at Boulder


Analysis of civil and international conflict is an important component of the fields of political science and international relations. The theories that animate the study of conflict have focused on a combination of economic and ethnic–ideological motivations, along with political and systemic factors such as alliances and support from external benefactors. However, few studies have presented a coherent and compelling account of the persistence and patterns of conflict since 1945. Many conflict studies that consider spatial phenomena ignore the particularities of the data and the context of spatial relationships. Three strands of research on spatial analysis of war can be identified: studies that explored how neighboring states influence the propensity for the international spread of disputes; studies that lend support to both spatial heterogeneity and dependence explanations of civil war patterns in developing states; and work that incorporates space into quantitative civil war studies by modeling how subnational characteristics affect civil war risk. In general, the qualitative literature on conflict has provided insights that help to identify predictive variables for quantitative analysis, in particular the local spatial distribution of violence and its trends over time. This is evident in the case of the Democratic Republic of the Congo, where violent events have erupted since independence in 1960. Despite the substantial progress in conflict research, there are a number of areas that deserve further investigation, including the specific contextual factors that govern the ebb and flow of conflict such as terrain, forest cover, distribution of supportive and opponent populations.

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