We show a new approach for detecting hotspots in spatial analysis based on the extended Gustafson-Kessel clustering method\r\nencapsulated in a Geographic Information System (GIS) tool. This algorithm gives (in the bidimensional case) ellipses as cluster\r\nprototypes to be considered as hotspots on the geographic map and we study their spatiotemporal evolution. The data consist of\r\ngeoreferenced patterns corresponding to positions of Talibanââ?¬â?¢s attacks against civilians and soldiers in Afghanistan that happened\r\nduring the period 2004ââ?¬â??2010.We analyze the formation through time of new hotspots, the movement of the related centroids, the\r\nvariation of the surface covered, the inclination angle, and the eccentricity of each hotspot.
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