Joonhee Kwon

An Access Method for Integrating Multi-scale Geometric Data

In this paper, an efficient access method for integrating multi-scale geometric data is proposed. Previous access methods do not access multi-scale geometric data efficiently. To solve it, a few access methods for multi-scale geometric data, are known. However these methods do not support all types of multi-scale geometric data, because they support only a selection operation and a simplification operation of all map generalization operations. We propose a new method for integrating multi-scale geometric data. In the proposed method, collections of indexes in its own scale are integrated into a single index structure. By the integration, not only does the proposed method offers fast search, but also the proposed method does not introduce data redundancy. Moreover, the proposed method supports all types of multi-scale geometric data. The experimental results show that our method is an efficient method for integrating multi-scale geometric data.

Efficient Access Technique Using Levelized Data in Web-Based GIS

An efficient access technique is one of the most important requirements in web-based GIS. With levelized spatial data we can access spatial data efficiently, because of no access to the fully detailed spatial data. Previous spatial access methods have disadvantages, such as data redundancy and low search performance, for levelized spatial data. To solve it, a few spatial access methods for levelized spatial data, are proposed. However these methods support only a few kinds of levelized data, i.e, data through a selection operation and a simplification operation. For the effects, we propose a new spatial access method supporting all kinds of levelized spatial data. A new access structure is designed and implemented. Experiments are then performed on real data sets. The results show that our method offers both high search performance and no data redundancy.

Efficient spatial access method based on R-trees in multi-scale GIS

An important requirement in geographic information systems is the ability to display multi-scale data. Existing spatial access methods do not access multi-scale data efficiently and do not deal with all types of multi-scale data. To resolve this, an efficient spatial access method in multi-scale GIS is described. A performance evaluation shows that our method outperforms existing spatial access methods.