Description
Traditionally, visualization is one of the most important and commonly used methods of generating insight into large scale data. Particularly for spatiotemporal data, the translation of such data into a visual form allows users to quickly see patterns, explore summaries and relate domain knowledge about underlying geographical phenomena that would not be apparent in tabular form.
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Contributors
- Zhang, Yifan (Author)
- Maciejewski, Ross (Thesis advisor)
- Mack, Elizabeth (Committee member)
- Liu, Huan (Committee member)
- Davulcu, Hasan (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2016
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Note
- Partial requirement for: Ph.D., Arizona State University, 2016Note typethesis
- Includes bibliographical references (pages 107-122)Note typebibliography
- Field of study: Computer science
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Statement of Responsibility
by Yifan Zhang