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Genre/Form: | Thèses et écrits académiques |
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Material Type: | Document, Thesis/dissertation |
Document Type: | Computer File |
All Authors / Contributors: |
Eric Mermet; Anne Ruas; Université Paris-Est (2007-2015).; École doctorale Mathématiques, Sciences et Technologies de l'Information et de la Communication (Champs-sur-Marne, Seine-et-Marne / 2010-2015).; Laboratoire Conception Objet et Généralisation de l'Information Topographique. |
OCLC Number: | 800877720 |
Notes: | Titre provenant de l'écran-titre. |
Description: | 1 online resource |
Responsibility: | Eric Mermet ; sous la direction de Anne Ruas. |
Abstract:
A transportation network is a complex spatial system characterized by four dimension types : geometric, topological, metric and relational. Thanks to these dimensions, it is possible to perform analysis situated in between the descriptive analysis of components from databases and functional analysis based on anthropogenic parameters. This analysis called structural helps to emphasize some properties of the network without usage context. It is established on the construction and analysis of indicators based on the relationship generated by the network: the relational indicators. They highlight their relational possibilities ; ie how their structure and spatial organization and topology of their components predispose to connect places in space in more or less easy way. Our work consists of designing a model for analysis and exploration of the structural properties of a transportation network. This type of analysis leads to a combinatorial complexity related to the number of relationships within the network, algorithmic complexity related to the calculation of indicators and visual complexity related to the difficulty to emphasize information. The proposed model aims to supply the user with the exploratory analysis of structural properties of the network by creating exploratory maps. Our model is composed of two parts. The first one allows to prepare static maps of exploration. The second one enables the visual combination of maps based on a graphic language. Both aspects of the model were developed in a prototype software called GeoGraphLab.
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