Predicting conflict in space and time

Journal of Conflict Resolution

Volumn 54, Issue 6, 2010, Pages 883-901

  Weidmann, Nils B ^a   Ward, Michael D ^b  

^a PRINCETON UNIVERSITY   (United States)

^b DUKE UNIVERSITY   (United States)

Author keywords

Bosnia; civil war; conflict prediction; spatial statistics

Indexed keywords

EID: 78649554772     PISSN: 00220027     EISSN: 15528766     Source Type: Journal    
DOI: 10.1177/0022002710371669     Document Type: Article

References (25)

1. Beck, Nathaniel, Gary King, and Langche Zeng. 2000. Improving quantitative studies of international conflict: A conjecture. American Political Science Review 94 (1): 21-35.
2. Besag, Julian E. 1974. Spatial interaction and the statistical analysis of lattice systems (with discussion). Journal of the Royal Statistical Society, Series B, Methodological 36:192-225.
3. Bueno de Mesquita, Bruce. 2009. The predictioneer's game: Using the logic of Brazen self-interest to see and shape the future. New York: Random House.
4. Buhaug, Halvard, and Kristian Skrede Gleditsch. 2008. Contagion or confusion? Why conflicts cluster in space. International Studies Quarterly 52 (2): 215-33.
5. Choucri, Nazli, and Thomas W. Robinson, eds. 1978. Forecasting in international relations: Theory, methods, problems, prospects. New York: W.H. Freeman.
6. Collier, Paul. 2007. The bottom billion. 1sted. Oxford, UK: Oxford University Press.
7. Diggle, Peter J., Rana A. Moyeed, and Jonathan A. Tawn. 1998. Model based geostatistics, with discussion. Applied Statistics 47:299-350.
8. Efron, Bradley. 1983. Estimating the error rate of a prediction rule: Improvementon cross-validation. Journal of the American Statistical Association 78 (382): 316-31.
9. Fearon, James D., and David D. Laitin. 2003. Ethnicity, insurgency and civil war. American Political Science Review 97 (1): 75-90.
10. Geisser, Seymour. 1974. A predictive approach to the random effect model. Biometrika 61 (1): 101-7.
11. Geyer, Charles J., and Elizabeth A. Thompson. 1992. Constrained Monte Carlo maximum likelihood for dependent data (with discussion). Journal of the Royal Statistical Society, Series B, Methodological 54:657-99.
12. Greenhill, Brian, and Michael D. Ward. 2009. Visualizing predictive power: Alternatives to the ROC curve. University of Washington, Department of Political Science.
13. Gumpertz, Marcia L., Chi-tsung Wu, and John M. Pye. 2000. Logistic regression for Southern Pine Beetle outbreaks with spatial and temporal autocorrelation. Forest Science 46 (1): 95-107.
14. Gurr, Ted Robert, and Mark I. Lichbach. 1986. Forecasting internal conflict: A competitive evaluation of empirical theories. Comparative Political Studies 19 (1): 3-38.
15. Hoeting, Jennifer A., Molly Leecaster, and David Bowden. 1999. An improved model for spatially correlated binary responses. Journal of Agricultural, Biological and Environmental Statistics 5 (1): 102-14.
16. Huffer, Fred W., and Hulin W.u. 1998. Markov Chain Monte Carlo for autologistic regression models with application to the distribution of plant species. Biometrics 54 (2): 509.
17. King, Gary, and Langche Zeng. 2001. Improving forecasts of state failure. World Politics 53:623-58.
18. Petrovic, Ruza. 1992. The national composition of Yugoslavia's population, 1991. Yugoslav Survey 33 (1): 3-24.
19. Raleigh, Clionadh, HÃ¥vard Hegre, Joakim Karlsen, and Andrew Linke. 2010. Introducing ACLED: An Armed Conflict Location and Event Dataset. Journal of Peace Research 47 (in press).
20. Sing, Tobias, Oliver Sander, Niko Beerenwinkel, and Thomas Lengauer. 2005. ROCR: Visualizing classifier performance in R. Bioinformatics 21 (20): 3940-41.
21. Taylor, Charles, and Michael C. Hudson. 1972. World handbook of political and social indicators. New Haven, CT: Yale University Press.
22. U.S. Geological Survey. 2007. GTOPO30 Digital Elevation Model. Technical report USGS. http://edc.usgs.gov/products/elevation/gtopo30/gtopo30.html (accessed December 6, 2007).
23. Ward, Michael D., and Kristian Skrede Gleditsch. 2002. Location, location, location: An MCMC approach to modeling the spatial context of war and peace. Political Analysis 10 (3): 244-60.
24. Weidmann, Nils B., and Doreen Kuse. 2009. WarViews: Visualizing and animating geographic data on civil war. International Studies Perspectives 10:36-48.
25. Zhu, Jun, Jakob G. Rasmussen, Jesper Møller, H.Aukema, Brian and Kenneth F. Raffa. 2008. Spatial-temporal modeling of forest gaps generated by colonization from below-and above-ground bark beetle species. Journal of the American Statistical Association 103 (481): 162.