Skip to main content

Modelling geographic data with multiple representations

Buy Article:

$60.90 plus tax (Refund Policy)


The impact of resolution has been widely studied on raster data, exploring new ways to store and use raster data at different resolution levels. A similar amount of work has not yet been achieved for vector data. The aim of this paper is to propose a framework suitable for vector data for use at different resolution levels. The framework has in fact a wider scope as it has been designed for the general problem of using multiple representations of geographical and thematic data. This problem can be divided into three main issues: data modelling, data matching from different data sets, and data utilization. How can geographical phenomena with several representations be modelled in vector geographic information systems (GIS)? How should different representations be matched to make the data-management systems aware that they all represent the same geographical phenomenon? How can systems supporting multiple representations be used? Answers to these questions have been elaborated as part of the European MurMur project. They are presented here and illustrated using current applications from the French national mapping agency (IGN).

Document Type: Research Article


Affiliations: 1: Laboratoire COGIT Institut Géographique National 2-4 avenue Pasteur 94165 Saint-Mandé Cedex France, Email: 2: Inforge University of Lausanne Lausanne HEC, INFORGE, 1015 Lausanne Switzerland, Email: 3: Database Laboratory EPFL IC, 1015 Lausanne Switzerland, Email:

Publication date: June 1, 2004

More about this publication?

Access Key

Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content
Cookie Policy
Cookie Policy
Ingenta Connect website makes use of cookies so as to keep track of data that you have filled in. I am Happy with this Find out more