We show a new approach for detecting hotspots in spatial analysis based on the Extended Gustafson-Kessel clustering method encapsulated in a Geographic In-formation System tool. This algorithm gives (in the bidimensional case) ellipses as cluster prototypes to be considered hotspots on the geographic map and we study their spatio-temporal evolution. The data consist of geo-referenced patterns corresponding to positions of Taliban’s attacks against civilians and soldiers in Afghanistan happened during the period 2004÷2010.
Hotspots Detection in Spatial Analysis: an Application to Military War / DI MARTINO, F.; Sessa, Salvatore. - UNICO:UNICO(2014), pp. 69-80. (Intervento presentato al convegno GISDAY 2013 tenutosi a NAPOLI nel 20 NOVEMBRE 2013) [10.4399/97888548743126].
Hotspots Detection in Spatial Analysis: an Application to Military War
F. DI MARTINO;SESSA, SALVATORE
2014
Abstract
We show a new approach for detecting hotspots in spatial analysis based on the Extended Gustafson-Kessel clustering method encapsulated in a Geographic In-formation System tool. This algorithm gives (in the bidimensional case) ellipses as cluster prototypes to be considered hotspots on the geographic map and we study their spatio-temporal evolution. The data consist of geo-referenced patterns corresponding to positions of Taliban’s attacks against civilians and soldiers in Afghanistan happened during the period 2004÷2010.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
