A Survey of Visual Analytics for Urban Data

PhD Qualifying Examination


Title: "A Survey of Visual Analytics for Urban Data"

by

Mr. Zezheng FENG


Abstract:

Nowadays, population has been growing rapidly due to urbanization, yielding 
many serious problems such as traffic congestion, unbalanced distribution of 
urban hotspots, air pollution, etc. Fortunately, with the increasingly 
existence of fruitful techniques on collecting urban data, many researchers are 
trying to explore the insight from these data and then making improvements to 
address the aforementioned issues. Though extracting knowledge from data is 
useful, it is essential to integrate domain experts’ knowledge into the 
solution. In recent years, visual analytics approach with its intuitiveness, 
interactivity and interpretability has been widely used to assist domain 
experts to solve urban computing problems. In this survey, we first introduce 
the background of urban computing, visual analytics on urban data and present 
the motivation of visual analytics on urban data, followed by pointing out the 
characteristics of visual analytic method. Secondly, we introduce the most 
frequently used urban data, analyze their main properties, and give an 
explanation on how to use these data. Thirdly, we present a summary of the 
visualization tasks and visualization techniques that have been commonly 
investigated and used in the recent publications from the top venues in urban 
visualization. Thereafter, we propose a new taxonomy for urban visualization 
and illustrate the taxonymy through examples. This kind of taxonomy provides 
four levels for visual analytics on urban data from a new perspective. 
According to the level of task complexity and analysis difficulty, we 
categorize the recent related works into four groups: data visualization, 
pattern exploration and situation surveillance, simulation and what-if 
analysis, optimization and planning. Finally, we conclude this survey by 
discussing the limitations of the existing related works and provide potential 
research directions.


Date:			Tuesday, 15 December 2020

Time:                  	2:00pm - 4:00pm

Zoom meeting:           https://hkust.zoom.com.cn/u/abeumYMtjp

Committee Members:	Prof. Huamin Qu (Supervisor)
 			Prof. Chiew-Lan Tai (Chairperson)
 			Dr. Qiong Luo
 			Prof. Pedro Sander


**** ALL are Welcome ****