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Spatial clustering overview and comparison : accuracy, sensitivity, and computational expense

Auteur(s) et Affiliation(s)

GRUBESIC, T.H.
Center for Spatial Analytics and Geocomputation, College of Computing and Informatics, Drexel Univ., Philadelphia, Etats-Unis
WEI, R.
Center for Spatial Analytics and Geocomputation, College of Computing and Informatics, Drexel Univ., Philadelphia, Etats-Unis
MURRAY, A.T.
Center for Spatial Analytics and Geocomputation, College of Computing and Informatics, Drexel Univ., Philadelphia, Etats-Unis


Description :
The purpose of this article is to provide an overview and evaluation of spatial clustering techniques, identifying the strengths and weaknesses of the most widely applied approaches. Results suggest that performance varies significantly in terms of accuracy, sensitivity, and computational expense. This is noteworthy because the misidentification of clusters, whether false positives or false negatives, has the potential to bias not only hypothesis formulation but also pragmatic facets of policy, process, and planning efforts within a region.


Type de document :
Article de périodique

Source :
Annals of the Association of American Geographers, issn : 0004-5608, 2014, vol. 104, n°. 6, p. 1134-1156, nombre de pages : 23, Références bibliographiques : 3 p.

Date :
2014

Editeur :
Pays édition : Etats-Unis, Washington, DC, Association of American Geographers

Langue :
Anglais
Droits :
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