Représentation surfacique d'évènements ponctuels discrets. Comparaison méthodologique à partir de l'exemple des accidents de la route dans la C.U.D.L.

Spatial point pattern analysis of large data sets involves powerful visualization techniques. This paper intends to present two suitable methods : the first one is based on kernel density estimation technique, while the second uses regular grid of quadrats superimposed on the event distribution. Bot...

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Bibliographic Details
Main Authors: Arnaud Banos, Jérome Bolot
Format: Article
Language:deu
Published: Unité Mixte de Recherche 8504 Géographie-cités 1999-06-01
Series:Cybergeo
Online Access:https://journals.openedition.org/cybergeo/5088
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Summary:Spatial point pattern analysis of large data sets involves powerful visualization techniques. This paper intends to present two suitable methods : the first one is based on kernel density estimation technique, while the second uses regular grid of quadrats superimposed on the event distribution. Both methods are applied to road accidents analysis in the urban community of Lille (France).
ISSN:1278-3366