Abstract
Understanding the space and time characteristics of human interaction in complex social networks is a critical component of visual tools for intelligence analysis, consumer behavior analysis, and human geography. Visual identification and comparison of patterns of recurring events is an essential feature of such tools. In this paper, we describe a tool for exploring hotel visitation patterns in and around Rebersburg, Pennsylvania from 1898-1900. The tool uses a wrapping spreadsheet technique, called reruns, to display cyclic patterns of geographic events in multiple overlapping natural and artificial calendars. Implemented as an Improvise visualization, the tool is in active development through a iterative process of data collection, hypothesis, design, discovery, and evaluation in close collaboration with historical geographers. Several discoveries have inspired ongoing data collection and plans to expand exploration to include historic weather records and railroad schedules. Distributed online evaluations of usability and usefulness have resulted in numerous feature and design recommendations.
| Original language | English (US) |
|---|---|
| Title of host publication | IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings |
| Pages | 35-42 |
| Number of pages | 8 |
| DOIs | |
| State | Published - 2006 |
| Event | IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Baltimore, MD, United States Duration: Oct 31 2006 → Nov 2 2006 |
Publication series
| Name | IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings |
|---|
Other
| Other | IEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 |
|---|---|
| Country/Territory | United States |
| City | Baltimore, MD, |
| Period | 10/31/06 → 11/2/06 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
All Science Journal Classification (ASJC) codes
- Signal Processing
- Electrical and Electronic Engineering
- Atomic and Molecular Physics, and Optics
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