Mots-clés
Agression ; Analyse spatiale ; Cincinnati ; Cluster ; Criminalité ; Etats-Unis ; Géographie sociale ; Ohio ; Pertinence ; Sensibibilité ; Système d'information géographiqueCluster ; Criminality ; Geographical information system ; Ohio ; Social geography ; Spatial analysis ; United States of AmericaAgrupación de actividades ; Análisis espacial ; Criminalidad ; Estados Unidos ; Geografía social ; Sistema de información geográficaSpatial 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
Anglais
Droits :
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)
Tous droits réservés © Prodig - Bibliographie Géographique Internationale (BGI)