Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la route

Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la route

The Geographical Analysis Machine (GAM), developped by Stan OPENSHAW, is an automated exploratory spatial data analysis method of point data. It allows to identify localized geographical clustering of events in space. This method is applied to road accidents data in the urban community of Lille (Fra...

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Bibliographic Details
Main Authors: Arnaud Banos, Florence Huguenin-Richard
Format: Article
Language:deu
Published: Unité Mixte de Recherche 8504 Géographie-cités 1999-06-01
Series:Cybergeo
Online Access:http://journals.openedition.org/cybergeo/5101
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spelling doaj-0243f2f386264bfd8ffd3676f2b6ed3c2020-11-25T01:11:45ZdeuUnité Mixte de Recherche 8504 Géographie-citésCybergeo1278-33661999-06-0110.4000/cybergeo.5101Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la routeArnaud BanosFlorence Huguenin-RichardThe Geographical Analysis Machine (GAM), developped by Stan OPENSHAW, is an automated exploratory spatial data analysis method of point data. It allows to identify localized geographical clustering of events in space. This method is applied to road accidents data in the urban community of Lille (France).http://journals.openedition.org/cybergeo/5101
collection DOAJ
language deu
format Article
sources DOAJ
author Arnaud Banos
Florence Huguenin-Richard
spellingShingle Arnaud Banos
Florence Huguenin-Richard
Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la route
Cybergeo
author_facet Arnaud Banos
Florence Huguenin-Richard
author_sort Arnaud Banos
title Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la route
title_short Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la route
title_full Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la route
title_fullStr Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la route
title_full_unstemmed Méthode d'identification de concentrations locales d'événements dans un semis de points. Application aux accidents de la route
title_sort méthode d'identification de concentrations locales d'événements dans un semis de points. application aux accidents de la route
publisher Unité Mixte de Recherche 8504 Géographie-cités
series Cybergeo
issn 1278-3366
publishDate 1999-06-01
description The Geographical Analysis Machine (GAM), developped by Stan OPENSHAW, is an automated exploratory spatial data analysis method of point data. It allows to identify localized geographical clustering of events in space. This method is applied to road accidents data in the urban community of Lille (France).
url http://journals.openedition.org/cybergeo/5101
work_keys_str_mv AT arnaudbanos methodedidentificationdeconcentrationslocalesdevenementsdansunsemisdepointsapplicationauxaccidentsdelaroute
AT florencehugueninrichard methodedidentificationdeconcentrationslocalesdevenementsdansunsemisdepointsapplicationauxaccidentsdelaroute
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