Matched wake analysis: Finding causal relationships in spatiotemporal event data |
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Institution: | 1. Department of Geography, Central University of Karnataka, India;2. Department of Geography, State University of New York, Buffalo, USA;3. Department of Applied Geology, Kuvempu University, Shankaraghatta, India;4. Department of Geography, University of Cambridge, United Kingdom |
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Abstract: | This paper introduces a new method for finding causal relationships in spatiotemporal event data with potential applications in conflict research, criminology, and epidemiology. The method analyzes how different types of interventions affect subsequent levels of reactive events. Sliding spatiotemporal windows and statistical matching are used for robust and clean causal inference. Thereby, two well-described empirical problems in establishing causal relationships in event data analysis are resolved: the modifiable areal unit problem and selection bias. The paper presents the method formally and demonstrates its effectiveness in Monte Carlo simulations and an empirical example by showing how instances of civilian assistance to US forces changed in response to indiscriminate insurgent violence in Iraq. |
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Keywords: | Quantitative methods GIS analysis Civil war Indiscriminate violence Causal inference |
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