The aim of this paper is to group territorial units in areas of high intensity, using SaTScan and Seg-DBSCAN clustering methods to aggregate adjacent spatial units that are homogeneous with respect to the phenomenon being studied. SaTScan scans the region of interest with a moving window and compares a smoothing of the intensity inside and outside it so that units belonging to contiguous windows with similar intensity are aggregated into a cluster. On the other hand, Seg-DBSCAN, a new version of DBSCAN, limits the arbitrariness of the choice of input parameters and identifies clusters as dense regions in space. As an application we analyze geo-referenced data concerning housing problems in Bari and we propose a comparison between the two methods presented.

Comparing SaTScan and Seg-DBSCAN methods in spatial phenomena

MONTRONE, Silvestro;PERCHINUNNO, Paola;
2011

Abstract

The aim of this paper is to group territorial units in areas of high intensity, using SaTScan and Seg-DBSCAN clustering methods to aggregate adjacent spatial units that are homogeneous with respect to the phenomenon being studied. SaTScan scans the region of interest with a moving window and compares a smoothing of the intensity inside and outside it so that units belonging to contiguous windows with similar intensity are aggregated into a cluster. On the other hand, Seg-DBSCAN, a new version of DBSCAN, limits the arbitrariness of the choice of input parameters and identifies clusters as dense regions in space. As an application we analyze geo-referenced data concerning housing problems in Bari and we propose a comparison between the two methods presented.
978-88-96025-12-3
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11586/138176
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