Note
College of Engineering and Computer Science
Member of
Contributors
Publisher
Florida Atlantic University
Date Issued
2008
EDTF Date Created
2008
Description
One of the biggest factors in the quest to better wireless communication is cellular
call handoff, which in tum, is a function of geographic location. In this thesis, our
fundamental goal was to demonstrate the value addition brought forth by spatial data
visualization techniques for the analysis of geo-referenced data from two different
location tracking technologies: GPS and cellular systems. Through our efforts, we
unearthed some valuable and surprising insights from the data being analyzed that led to
interesting observations about the data itself as opposed to the entity, or entities, that the
data is supposed to describe. In doing so, we underscored the value addition brought forth
by spatial data visualization techniques even in the incipient stages of analysis of georeferenced
data from cellular networks. We also demonstrated the value of visualization
techniques as a verification tool to verify the results of analysis done through other
methods, such as statistical analysis.
call handoff, which in tum, is a function of geographic location. In this thesis, our
fundamental goal was to demonstrate the value addition brought forth by spatial data
visualization techniques for the analysis of geo-referenced data from two different
location tracking technologies: GPS and cellular systems. Through our efforts, we
unearthed some valuable and surprising insights from the data being analyzed that led to
interesting observations about the data itself as opposed to the entity, or entities, that the
data is supposed to describe. In doing so, we underscored the value addition brought forth
by spatial data visualization techniques even in the incipient stages of analysis of georeferenced
data from cellular networks. We also demonstrated the value of visualization
techniques as a verification tool to verify the results of analysis done through other
methods, such as statistical analysis.
Language
Type
Form
Extent
87 p.
Subject (Topical)
Identifier
FA00012536
Additional Information
College of Engineering and Computer Science
Thesis (M.S.)--Florida Atlantic University, 2008.
FAU Electronic Theses and Dissertations Collection
Date Backup
2008
Date Created Backup
2008
Date Text
2008
Date Created (EDTF)
2008
Date Issued (EDTF)
2008
Extension
FAU
IID
FA00012536
Organizations
Attributed name: Florida Atlantic University
Attributed name: College of Engineering and Computer Science
Person Preferred Name
Mani, Mohan
Graduate College
Physical Description
application/pdf
87 p.
Title Plain
Visualization as a Qualitative Method for Analysis of Data from Location Tracking Technologies
Use and Reproduction
Copyright © is held by the author with permission granted to Florida Atlantic University to digitize, archive and distribute this item for non-profit research and educational purposes. Any reuse of this item in excess of fair use or other copyright exemptions requires permission of the copyright holder.
http://rightsstatements.org/vocab/InC/1.0/
Origin Information
2008
2008
Florida Atlantic University
Boca Raton, Fla.
Physical Location
Florida Atlantic University Libraries
Place
Boca Raton, Fla.
Sub Location
Digital Library
Title
Visualization as a Qualitative Method for Analysis of Data from Location Tracking Technologies
Other Title Info
Visualization as a Qualitative Method for Analysis of Data from Location Tracking Technologies