Space–time evolution of historical drought hazards in eastern China
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DOI: 10.1007/s11069-015-1685-y
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- Martin Kulldorff, 2001. "Prospective time periodic geographical disease surveillance using a scan statistic," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 164(1), pages 61-72.
- Telesca, Luciano & Lovallo, Michele & Lopez-Moreno, Ignacio & Vicente-Serrano, Sergio, 2012. "Investigation of scaling properties in monthly streamflow and Standardized Streamflow Index (SSI) time series in the Ebro basin (Spain)," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 391(4), pages 1662-1678.
- Nicholas Malizia, 2013. "Inaccuracy, Uncertainty and the Space-Time Permutation Scan Statistic," PLOS ONE, Public Library of Science, vol. 8(2), pages 1-15, February.
- Kulldorff, M. & Athas, W.F. & Feuer, E.J. & Miller, B.A. & Key, C.R., 1998. "Evaluating cluster alarms: A space-time scan statistic and brain cancer in Los Alamos, New Mexico," American Journal of Public Health, American Public Health Association, vol. 88(9), pages 1377-1380.
- Zhenghong Chen & Guifang Yang, 2013. "Analysis of drought hazards in North China: distribution and interpretation," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 65(1), pages 279-294, January.
- Lu Hao & Xiaoyu Zhang & Shoudong Liu, 2012. "Risk assessment to China’s agricultural drought disaster in county unit," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 61(2), pages 785-801, March.
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Keywords
Historical drought hazards; Space–time evolution; Geostatistics; Space–time permutation scan statistic; Space–Time–Cube;All these keywords.
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