This article presents the results of integrating large- and medium-scale data into a unified data structure.

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 ...

The tGAP data structure provides a promising implementation of the vario-scale approach in which the most detailed data is stored once, and an incremental ...

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 ...

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 ...

Arta Dilo , Peter van Oosterom, Arjen Hofman: Constrained tGAP for generalization between scales: The case of Dutch topographic data. Comput. Environ.

In this paper the results of merging large scale (1:1,000) and medium scale (1:10,000) topographic data into one structure are presented.

The solution is based on the constrained topological Generalized Area Partition (tGAP), which stores the results of a generalization process applied to the ...

In both cases, thematic data often need to be adjusted on topographic data. ... Constrained tGAP for generalization between scales: The case of Dutch.

Constrained tGAP for generalization between scales: The case of Dutch topographic data · Arta DiloP. V. OosteromArjen Hofman. Geography, Computer Science.