Constrained tGAP for generalisation between scales: the case of Dutch topographic data

Share/Save/Bookmark

Dilo, Arta and Oosterom, Peter van and Hofman, Arjen (2009) Constrained tGAP for generalisation between scales: the case of Dutch topographic data. Computers, Environment and Urban Systems, 33 (5). pp. 388-402. ISSN 0198-9715

open access
[img]
Preview
PDF
4MB
Abstract:This article presents the results of integrating large- and medium-scale data into a unified data structure. This structure can be used as a single non-redundant representation for the input data, which can be queried at any arbitrary scale between the source scales. The solution is based on the constrained topological Generalized Area Partition (tGAP), which stores the results of a generalization process applied to the large-scale dataset, and is controlled by the objects of the medium-scale dataset, which act as constraints on the large-scale objects. The result contains the accurate geometry of the large-scale objects enriched with the generalization knowledge of the medium-scale data, stored as references in the constraint tGAP structure. The advantage of this constrained approach over the original tGAP is the higher quality of the aggregated maps. The idea was implemented with real topographic datasets from The Netherlands for the large- (1:1000) and medium-scale (1:10,000) data. The approach is expected to be equally valid for any categorical map and for other scales as well.
Item Type:Article
Copyright:© 2009 Elsevier
Faculty:
Electrical Engineering, Mathematics and Computer Science (EEMCS)
Research Group:
Link to this item:http://purl.utwente.nl/publications/70980
Official URL:http://dx.doi.org/10.1016/j.compenvurbsys.2009.07.006
Export this item as:BibTeX
EndNote
HTML Citation
Reference Manager

 

Repository Staff Only: item control page