The extended fuzzy C-means algorithm for hotspots in spatio-temporal GIS

Authors:
Ferdinando Di Martino;Salvatore Sessa
Affiliations:
Universití degli Studi di Napoli Federico II, Dipartimento di Costruzioni e Metodi Matematici in Architettura, Via Monteoliveto 3, 80134 Napoli, Italy;Universití degli Studi di Napoli Federico II, Dipartimento di Costruzioni e Metodi Matematici in Architettura, Via Monteoliveto 3, 80134 Napoli, Italy
Venue:
Expert Systems with Applications: An International Journal
Year:
2011

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Abstract

In spatial analysis buffer impact areas are called hotspots and are determined by means of density clustering methods. In a previous work, we found these hotspots in the context of a Geographic Information System (GIS) by using the extended fuzzy C-means (EFCM). Here we show how the spatial distribution of the hotspots can evolve temporally and like applicational example, we present the spatial-temporal evolution in the period 2000-2006 of the fire point-events data of the Santa Fe district (NM) (downloaded from URL: www.fs.fed.us/r3/gis/sfe_gis.shtml).