Nouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale
The purpose of this article is to briefly describe the recent advances in the graphs theory using the concept of the minimal spanning tree in geomorphometric terms. The description of the distribution of a grouping of nodes in geographical space can be realised mathematically, giving rise to eleven...
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Unité Mixte de Recherche 8504 Géographie-cités
2002
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oai:doaj.org-article:a226c01cf0ab4679a7e0099785f030892021-12-02T11:09:41ZNouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale1278-336610.4000/cybergeo.3722https://doaj.org/article/a226c01cf0ab4679a7e0099785f030892002-09-01T00:00:00Zhttp://journals.openedition.org/cybergeo/3722https://doaj.org/toc/1278-3366The purpose of this article is to briefly describe the recent advances in the graphs theory using the concept of the minimal spanning tree in geomorphometric terms. The description of the distribution of a grouping of nodes in geographical space can be realised mathematically, giving rise to eleven distinct morphometric classes. These classifications constitute the basic spatial models from which it is possible to measure the rate of disorder, which is the deviation from the model. Other constructs than that of order/disorder in spatial organisation are also analysed. With a spatial quantification table, one is able to observe in a single table the models important to the space being analysed and their different rates of disorder.Angela BarthesGéraldine PlanqueUnité Mixte de Recherche 8504 Géographie-citésarticlemethodologygraph theorymorphometric modelgeomorphometryspatial analysisGeography (General)G1-922DEENFRITPTCybergeo (2002) |
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DE EN FR IT PT |
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methodology graph theory morphometric model geomorphometry spatial analysis Geography (General) G1-922 |
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methodology graph theory morphometric model geomorphometry spatial analysis Geography (General) G1-922 Angela Barthes Géraldine Planque Nouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale |
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The purpose of this article is to briefly describe the recent advances in the graphs theory using the concept of the minimal spanning tree in geomorphometric terms. The description of the distribution of a grouping of nodes in geographical space can be realised mathematically, giving rise to eleven distinct morphometric classes. These classifications constitute the basic spatial models from which it is possible to measure the rate of disorder, which is the deviation from the model. Other constructs than that of order/disorder in spatial organisation are also analysed. With a spatial quantification table, one is able to observe in a single table the models important to the space being analysed and their different rates of disorder. |
format |
article |
author |
Angela Barthes Géraldine Planque |
author_facet |
Angela Barthes Géraldine Planque |
author_sort |
Angela Barthes |
title |
Nouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale |
title_short |
Nouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale |
title_full |
Nouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale |
title_fullStr |
Nouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale |
title_full_unstemmed |
Nouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale |
title_sort |
nouvelles données géomorphométriques issues de la théorie des graphes pour l’analyse spatiale |
publisher |
Unité Mixte de Recherche 8504 Géographie-cités |
publishDate |
2002 |
url |
https://doaj.org/article/a226c01cf0ab4679a7e0099785f03089 |
work_keys_str_mv |
AT angelabarthes nouvellesdonneesgeomorphometriquesissuesdelatheoriedesgraphespourlanalysespatiale AT geraldineplanque nouvellesdonneesgeomorphometriquesissuesdelatheoriedesgraphespourlanalysespatiale |
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