Paper
11 March 2005 Visual mining geo-related data using pixel bar charts
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Peter Wright, Joern Schneidewind
Author Affiliations +
Proceedings Volume 5669, Visualization and Data Analysis 2005; (2005) https://doi.org/10.1117/12.586037
Event: Electronic Imaging 2005, 2005, San Jose, California, United States
Abstract
A common approach to analyze geo-related data is using bar charts or x-y plots. They are intuitive and easy to use. But important information often gets lost. In this paper, we introduce a new interactive visualization technique called Geo Pixel Bar Charts, which combines the advantages of Pixel Bar Charts and interactive maps. This technique allows analysts to visualize large amounts of spatial data without aggregation and shows the geographical regions corresponding to the spatial data attribute at the same time. In this paper, we apply Geo Pixel Bar Charts to visually mining sales transactions and Internet usage from different locations. Our experimental results show the effectiveness of this technique for providing data distribution and immediate identification of anomalies from the map.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ming C. Hao, Daniel A. Keim, Umeshwar Dayal, Peter Wright, and Joern Schneidewind "Visual mining geo-related data using pixel bar charts", Proc. SPIE 5669, Visualization and Data Analysis 2005, (11 March 2005); https://doi.org/10.1117/12.586037
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Visualization

Internet

Mining

Data mining

Visual analytics

Analytical research

Associative arrays

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