Paper Info
Title
BoundarySeer: Visual analysis of 2D boundary changes
Abstract
Boundary changes exist ubiquitously in our daily life. From the Antarctic ozone hole to the land desertification, and from the territory of a country to the area within one-hour reach from a downtown location, boundaries change over time. With a large number of time-varying boundaries recorded, people often need to analyze the changes, detect their similarities or differences, and find out spatial and temporal patterns of the evolution for various applications. In this paper, we present a comprehensive visual analytics system, BoundarySeer, to help users gain insight into the changes of boundaries. Our system consists of four major viewers: 1) a global viewer to show boundary groups based on their similarity and the distribution of boundary attributes such as smoothness and perimeter; 2) a region viewer to display the regions encircled by the boundaries and how they are affected by boundary changes; 3) a trend viewer to reveal the temporal patterns in the boundary evolution and potential spatio-temporal correlations; 4) a directional change viewer to encode movements of boundary segments in different directions. Quantitative analyses of boundaries (e.g., similarity measurement and adaptive clustering) and intuitive visualizations (e.g., density map and ThemeRiver) are integrated into these viewers, which enable users to explore boundary changes from different aspects and at different scales. Case studies with two real-world datasets have been carried out to demonstrate the effectiveness of our system.
Year
DOI
Venue
2014
10.1109/VAST.2014.7042490
IEEE VAST
Keywords
Field
DocType
boundaryseer,visual analytics system,pattern clustering,cartography,themeriver,land desertification,directional change viewer,radial visualization,scatter plot,global viewer,spatial patterns,boundary change,2d boundary changes,boundary evolution,trend viewer,geography,data visualisation,potential spatio-temporal correlations,visual analytics,similarity measurement,temporal patterns,antarctic ozone hole,boundary segment movement encoding,contour map,visual analysis,adaptive clustering,density map,region viewer
ENCODE,Computer vision,Computer science,Contour line,Visual analytics,Artificial intelligence,Cluster analysis,Smoothness,Scatter plot
Conference
ISSN
Citations 
PageRank 
2325-9442
12
0.56
References 
Authors
30
6
Name
Order
Citations
PageRank
Wenchao Wu1763.97
Yixian Zheng2402.66
Huamin Qu32033115.33
Wei Chen4119392.00
Eduard Gröller521612.48
Lionel M. Ni69462802.67