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Despite an increase in attention to 'geography' in civil war research, local dynamics in violence remain poorly understood. To address this gap, we analyze disaggregated violent event data for the North Caucasus of Russia from the start of the second Chechen war, in August 1999, to July 2010. We employ a diffusion perspective to examine the spread of the conflict from its Chechen nucleus and we identify the tit-for-tat nature of the conflict between the rebels and the military/police forces as especially significant in understanding the conflict's dynamics and spread to neighboring republics. A space—time analysis shows that violence is concentrated at short temporal intervals and geographic distances. As the insurgents in the violence have changed from dominantly nationalist to Islamist, the geography of the war has become more diffuse across the Muslim republics of the region, rendering the Russian counterinsurgency efforts more challenging.

A robust debate about the effects of climate change on conflict occurrences has attained wide public and policy attention, with sub-Saharan Africa generally viewed as most susceptible to increased conflict risk. Using a new disaggregated dataset of violence and climate anomaly measures (temperature and precipitation variations from normal) for sub-Saharan Africa 1980–2012, we consider political, economic, and geographic factors, not only climate metrics, in assessing the chances of increased violence. The location and timing of violence are influenced less by climate anomalies than by key political, economic, and geographic factors. Overall, the temperature effect is statistically significant, but important inconsistencies in the relationship between temperature extremes and conflict are evident in more nuanced relationships than have been previously identified.

We investigate insurgent-coalition interaction using the WikiLeaks dataset of Iraq war logs 2004-2009. After a review of existing theoretical interventions on the dynamics of insurgency and presenting a baseline model of violent events, we test a conceptual model of reciprocity using an innovative space-time Granger causality technique. Our estimation procedure retains predicted probabilities of reaction in response to a previous opponent's action across different temporal and spatial configurations in Iraq and in Baghdad. Our conclusions about conflict in Iraq are based on these profiles of risk-what we call space-time signatures. We find strong evidence of "tit-for-tat" associations between coalition/Iraq forces on one side and insurgents/militants on the other. Specifically, we find that the action-reaction association varies strongly by majority ethnic region across Iraq and in Baghdad, by urban and nonurban location, and within Sunni-dominated areas, by district income. While violence is strongly temporally dependent in the same location, the effect of distance varies significantly across the different subsets of the Iraq data. (International Interactions/FUB)

We address two questions on the effects of climate change for social instability. First, do droughts and their associated environmental impacts affect support for the use of violence? Second, do local-level formal and informal institutions moderate support for violence when and where droughts worsen? To answer these questions, we conducted a national survey of 1,400 Kenyans in 2014. Respondents were asked about patterns of rainfall and the presence of rules regulating natural resource use and access. Survey data are joined to spatially disaggregated observed rainfall trends. The survey uses endorsement experiments to elicit honest responses about support for using violence. There is some evidence of a direct, though limited, link between observed drought and violent attitudes. Certain local-level natural resource use rules have moderating effects on support for violence where drought is reported and precipitation is less frequent. This conditional and contextual effect is an important modification of overly simplistic narratives of universal climate change effects.

Recent studies concerning the possible relationship between climate trends and the risks of violent conflict have yielded contradictory results, partly because of choices of conflict measures and modeling design. In this study, we examine climate–conflict relationships using a geographically disaggregated approach. We consider the effects of climate change to be both local and national in character, and we use a conflict database that contains 16,359 individual geolocated violent events for East Africa from 1990 to 2009. Unlike previous studies that relied exclusively on political and economic controls, we analyze the many geographical factors that have been shown to be important in understanding the distribution and causes of violence while also considering yearly and country fixed effects. For our main climate indicators at gridded 1° resolution (∼100 km), wetter deviations from the precipitation norms decrease the risk of violence, whereas drier and normal periods show no effects. The relationship between temperature and conflict shows that much warmer than normal temperatures raise the risk of violence, whereas average and cooler temperatures have no effect. These precipitation and temperature effects are statistically significant but have modest influence in terms of predictive power in a model with political, economic, and physical geographic predictors. Large variations in the climate–conflict relationships are evident between the nine countries of the study region and across time periods.