Geospatial web data tessellation and visualization

Torpelund-Bruin, Christopher, and Lee, Ickjai (2011) Geospatial web data tessellation and visualization. Advances in Information Sciences and Service Sciences, 3 (2). pp. 87-93.

[img] PDF (Published Version) - Published Version
Restricted to Repository staff only

View at Publisher Website: http://dx.doi.org/10.4156/aiss.vol3.issu...
 
3
2


Abstract

The Internet has penetrated to every aspect of our daily life. Users are feeding their georeferenced knowledge, preference, consumer patterns and behaviors, likes and dislikes, and living patterns to the Web. Proper understanding of these user-provided georeferenced Web data is of great importance. This article combines Web 2.0 and Geospatial Web to retrieve and map user-driven data, and mixes clustering and segmentation to identify informative cluster weighted areas of influence. Case studies are provided to illustrate the working principle of proposed framework, to show how the framework can be applied to many different scenarios, and to demonstrate the usefulness and applicability of the proposed framework.

Item ID: 19854
Item Type: Article (Refereed Research - C1)
Keywords: Geospatial web, segmentation, Voronoi diagram, visualization, Web 2.0
ISSN: 2233-9345
Date Deposited: 27 Feb 2012 02:18
FoR Codes: 08 INFORMATION AND COMPUTING SCIENCES > 0801 Artificial Intelligence and Image Processing > 080109 Pattern Recognition and Data Mining @ 100%
SEO Codes: 89 INFORMATION AND COMMUNICATION SERVICES > 8902 Computer Software and Services > 890202 Application Tools and System Utilities @ 100%
Downloads: Total: 2
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page