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(Article of periodic en Anglais - 2014)

Document title

Matched wake analysis : finding causal relationships in spatiotemporal event data

Authors(s) and Affiliation(s)

SCHUTTE S. (1) ; DONNAY K. (2) ;
(1) Center for Comparative and International Studies, ETH, Zurich, SUISSE
(2) Sociology, Modeling and Simulation, ETH, Zurich, SUISSE

Abstract

This paper introduces a new method for finding causal relationships in spatiotemporal event data with potential applications in conflict research, criminology, and epidemiology. It 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

Source

Article of periodic

published at : Political geography / ISSN 0962-6298

Editor : Butterworth-Heinemann, Oxford - ROYAUME-UNI (1992)

Millesime : 2014, vol. 41 [pp. 1-10]

Collation : fig., tabl;, cartes

Language

Anglais

Digital Object Identifier

Go to electronic document thanks to its DOI : doi:10.1016/j.polgeo.2014.03.001

Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI), 2014
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