Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

Spatial Indexing Method for Levelized Geometric Objects: Integrated Approach

Authors
Joon-Hee KwonYong-Ik Yoon
Issue Date
Sep-2003
Publisher
Association for Computer 7 Information science
Citation
ACIS International Journal of Computer & Information Science, v.4, no.3, pp 155 - 164
Pages
10
Journal Title
ACIS International Journal of Computer & Information Science
Volume
4
Number
3
Start Page
155
End Page
164
URI
https://scholarworks.sookmyung.ac.kr/handle/2020.sw.sookmyung/149098
ISSN
1525-9293
Abstract
Recently, applications such as GIS require to access geometric objects more quickly, moreover they require larger geometric objects. Levelized geometric objects enable the rapid access of large geometric objects, because of no access to the fully detailed geometric objects. In order to handle levelized geometric objects efficiently, spatial indexing methods are needed. The conventional spatial indexing methods are not efficient to access levelized geometric objects. We presented a new spatial indexing method for levelized geometric objects to support all types of levelized geometric objects. In our method, we integrated approaches of the conventional spatial indexing methods. The integrated index structure and algorithms are designed and implemented. Extensive experiments are then performed. The results show that our method is a desirable spatial indexing method for levelized geometric objects.
Files in This Item
Go to Link
Appears in
Collections
ICT융합공학부 > IT공학전공 > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yoon, Yong Ik photo

Yoon, Yong Ik
공과대학 (인공지능공학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE