Coherence of linear and surface data: Methodological proposal from the example of road data

TL;DR

This paper proposes a methodology to ensure coherence and interoperability between linear (road networks) and surface (polygonal) geographic data across different spatial databases, facilitating data integration and comparison.

Contribution

It introduces a formal approach to match and adapt linear and surface spatial data, demonstrated through multiple international case studies, to improve data consistency.

Findings

Formalized surface data adapted to linear data

Enhanced interoperability between different spatial reference frames

Validated approach through international case studies

Abstract

The real world and its geographic objects are modeled and represented in different spatial databases. Each of these databases provides only a partial description (in space and time) of the geographic objects represented. Sometimes, producers and users of databases need to connect several of them for updates or comparisons. Much of the work in spatial database management focuses on matching these spatial databases and more particularly network databases, such as road networks. With regard to network data, one situation remains neglected, that of matching a linear database (with polylines objects) with a surface database (with polygons objects). In any case, users also need to connect these two types of spatial database. In this paper, a case study is made using French examples (Cachan, near Paris), as well as international case studies (Bordeaux in France, Victoria in Canada, and Copenhagen in Denmark), to propose an approach intended to make coherent network geographical objects in two different reference frames (linear and surface). This issue is addressed here through the example of road data. The surface data are then formalized in order to adapt them to linear data describing the same geographical objects. In the end, a polygon in the surface data corresponds to a single polyline in the linear data. This consistency should simplify the transfer of information from one reference frame (linear or surface) to the other. In other words, the methodology developed aims to make linear and surfacegeographic data interoperable.