By Topic

An index structure for multi-scale representation of spatial data

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Li Gen ; School of Computer Science and Telecommunication Engineering Jiangsu University Zhenjiang 212013, China ; Zou Zhiwen ; Ju Shiguang

Aiming at multi-scale representation of spatial data not supported by R-tree and the objects in the same rank are not-clustered, a multi-scale index structure of spatial data based on cluster algorithm is proposed. Hierarchical structure of index tree is made use of reflecting the change of resolution ratio. The spatial objects of the same rank are divided into different groups using k-means cluster algorithm, decreasing the region covering and region overlap. The result of our experiments shows that the algorithm, compared with other ways, has a distinct superiority in the speed of multi-scale display of spatial data.

Published in:

2010 International Symposium on Computer, Communication, Control and Automation (3CA)  (Volume:1 )

Date of Conference:

5-7 May 2010