Paper Info
Title
Modelling Geographic Data With Multiple Representations
Abstract
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).
Year
DOI
Venue
2004
10.1080/13658810410001672881
INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
Keywords
Field
DocType
data modelling,geographic information system
Geographic information system,Raster data,Data mining,Data modeling,Data set,Data model (GIS),Computer science,Thematic map
Journal
Volume
Issue
ISSN
18
4
1365-8816
Citations 
PageRank 
References 
26
2.15
7
Authors
3
Name
Order
Citations
PageRank
Sandrine Balley1262.49
Christine Parent21391203.77
Stefano Spaccapietra32603565.28