Document Type

Dissertation

Degree

Doctor of Philosophy (PhD)

Major/Program

Computer Science

First Advisor's Name

Naphtali Rishe

First Advisor's Committee Title

Committee chair

Second Advisor's Name

Tao Li

Second Advisor's Committee Title

committee member

Third Advisor's Name

Masoud Sadjadi

Third Advisor's Committee Title

committee member

Fourth Advisor's Name

Armando Barreto

Fourth Advisor's Committee Title

committee member

Keywords

moving object database, geo-referenced data, data visualization

Date of Defense

11-13-2015

Abstract

As a result of the rapid evolution of smart mobile devices and the wide application of satellite-based positioning devices, the moving object database (MOD) has become a hot research topic in recent years. The moving objects generate a large amount of geo-referenced data in different types, such as videos, audios, images and sensor logs. In order to better analyze and utilize the data, it is useful and necessary to visualize the data on a map.

With the rise of web mapping, visualizing the moving object and geo-referenced data has never been so easy. While displaying the trajectory of a moving object is a mature technology, there is little research on visualizing both the location and data of the moving objects in a synchronized manner.

This dissertation proposes a general moving object visualization model to address the above problem. This model divides the spatial data visualization systems into four categories. Another contribution of this dissertation is to provide a framework, which deals with all these visualization tasks with synchronization control in mind. This platform relies on the TerraFly web mapping system.

To evaluate the universality and effectiveness of the proposed framework, this dissertation presents four visualization systems to deal with a variety of situations and different data types.

Identifier

FIDC000741

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