Visual analysis of historic hotel visitation patterns

Chris Weaver, David Fyfe, Anthony Robinson, Deryck Holdsworth, Donna Peuquet, Alan M. MacEachren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

15 Scopus citations

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 languageEnglish (US)
Title of host publicationIEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings
Pages35-42
Number of pages8
DOIs
StatePublished - 2006
EventIEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Baltimore, MD, United States
Duration: Oct 31 2006Nov 2 2006

Publication series

NameIEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006 - Proceedings

Other

OtherIEEE Symposium on Visual Analytics Science and Technology 2006, VAST 2006
Country/TerritoryUnited States
CityBaltimore, MD,
Period10/31/0611/2/06

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering
  • Atomic and Molecular Physics, and Optics

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