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Hotspots Detection in Spatial Analysis via the Extended Gustafson-Kessel Algorithm
Joint Authors
Sessa, Salvatore
Di Martino, Ferdinando
Source
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-12-09
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Information Technology and Computer Science
Abstract EN
We show a new approach for detecting hotspots in spatial analysis based on the extended Gustafson-Kessel clustering method encapsulated in a Geographic Information System (GIS) tool.
This algorithm gives (in the bidimensional case) ellipses as cluster prototypes to be considered as hotspots on the geographic map and we study their spatiotemporal evolution.
The data consist of georeferenced patterns corresponding to positions of Taliban’s attacks against civilians and soldiers in Afghanistan that happened during the period 2004–2010.
We analyze the formation through time of new hotspots, the movement of the related centroids, the variation of the surface covered, the inclination angle, and the eccentricity of each hotspot.
American Psychological Association (APA)
Di Martino, Ferdinando& Sessa, Salvatore. 2013. Hotspots Detection in Spatial Analysis via the Extended Gustafson-Kessel Algorithm. Advances in Fuzzy Systems،Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-505454
Modern Language Association (MLA)
Di Martino, Ferdinando& Sessa, Salvatore. Hotspots Detection in Spatial Analysis via the Extended Gustafson-Kessel Algorithm. Advances in Fuzzy Systems No. 2013 (2013), pp.1-7.
https://search.emarefa.net/detail/BIM-505454
American Medical Association (AMA)
Di Martino, Ferdinando& Sessa, Salvatore. Hotspots Detection in Spatial Analysis via the Extended Gustafson-Kessel Algorithm. Advances in Fuzzy Systems. 2013. Vol. 2013, no. 2013, pp.1-7.
https://search.emarefa.net/detail/BIM-505454
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-505454