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A Visualization Strategy for Analyzing High Volumes of Space-time Activity Data

Rush, Johnathan F.
http://rave.ohiolink.edu/etdc/view?acc_num=osu1253550799

Abstract Details

2009, Master of Arts, Ohio State University, Geography.
In the four decades of work in time geography, research has shed light on a number of social science topics related to human activity. Access to critical resources or spaces, patterns of behavior, and migration are subject areas that have benefited greatly from the time geographic framework. Since the field’s inception in Sweden in the 1960s, some of the largest developments have been operationalizing the concepts of time geography in computerized systems, and an increase in the availability of human activity data. With activity data easier to acquire, it is likely that it will be collected in ever larger samples. Future research will need to handle these higher data volumes, or risk being overcome by large, complicated data sets. The analysis techniques useful for analyzing the space-time activity of an individual, or a small set of individuals, may not be efficient for analyzing data sets of thousands of individuals. This study begins with a literature review that covers the fundamentals of time geography, reviews important applications of the time geographic framework, and surveys the visualization and analysis methods utilized in the prior work. Next, a method is developed that combines successful elements of prior work with the space-time aquarium with a 3D points cloud-based visualization technique that may be suitable for large data volumes. Finally, a prototype analysis environment is created, and its capabilities in detecting behavioral patterns among a large volume of activity diary data is determined.
Mei-Po Kwan (Advisor)
Desheng Liu (Committee Member)
Alan Price (Committee Member)
129 p.
Geography
GIS; geovisualization; time geography; space-time behavior; human activities

Recommended Citations

Citations

  • Rush, J. F. (2009). A Visualization Strategy for Analyzing High Volumes of Space-time Activity Data [Master's thesis, Ohio State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=osu1253550799

    APA Style (7th edition)

  • Rush, Johnathan. A Visualization Strategy for Analyzing High Volumes of Space-time Activity Data. 2009. Ohio State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=osu1253550799.

    MLA Style (8th edition)

  • Rush, Johnathan. "A Visualization Strategy for Analyzing High Volumes of Space-time Activity Data." Master's thesis, Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1253550799

    Chicago Manual of Style (17th edition)

osu1253550799
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© 2009, all rights reserved.
This open access ETD is published by The Ohio State University and OhioLINK.