A comprehensive parallel coordinates system for air pollution analysis

MPhil Thesis Defence


Title: "A comprehensive parallel coordinates system for air pollution analysis"

By

Mr. Kai-Lun Chung


Abstract

Air pollution is one of the most serious environmental threats. Analyzing
its causes is an important research topic and visualization tools serve as
the key component in the weather data analysis. The goal of this thesis is
to build a comprehensive parallel coordinates visualization system for air
pollution analysis.

Parallel coordinates is a fundamental visualization technique in
information visualization. Three major issues on parallel coordinates are
addressed: visual clutter, dimension ordering and problematic transition.
In the proposed system, a novel geometric-based clustering algorithm is
proposed to reduce clutter in parallel coordinates. Three graph-based
analytic tools are developed upon the parallel coordinates: Selection
graph provides an interface for users to select region of interest in a
cluttered display. Relation graph organizes clusters structurally which is
informative for users to study inter-cluster relationship. Weighted
complete graph aids users to find the optimal axis order based on its
structure. Problematic transition is alleviated by the proposed non-linear
growing technique and morphing transition on common operations in parallel
coordinates. An analysis is carried out to demonstrate the effectiveness
of the proposed system using the real weather data in Hong Kong.


Date:				Tuesday, 26 August 2008

Time:				2:00p.m.-4:00p.m.

Venue:				Room 3301A
				Lifts 17-18

Committee Members:		Dr. Huamin Qu (Supervisor)
				Dr. Qiong Luo (Chairperson)
				Dr. Pedro Sander


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