As urban populations become increasingly dense, massive amounts of new 'big' data that characterize human activity are being made available and may be characterized as having a large volume of observations, being produced in real-time or near real-time, and including a diverse variety of information. In particular, spatial interaction (SI) data - a collection of human interactions across a set of origins and destination locations - present unique challenges for distilling big data into insight.
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- Partial requirement for: Ph.D., Arizona State University, 2017Note typethesis
- Includes bibliographical references (pages 301-333)Note typebibliography
- Field of study: Geography