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A Data-driven, High-performance and Intelligent CyberInfrastructure to Advance Spatial Sciences

Abstract In the field of Geographic Information Science (GIScience), we have witnessed the unprecedented data deluge brought about by the rapid advancement of high-resolution data observing technologies. For example, with the advancement of Earth Observation (EO) technologies, a massive amount of EO data including remote sensing data and other sensor observation data about earthquake, climate, ocean, hydrology, volcano, glacier, etc., are being collected on a daily basis by a wide range of organizations. In addition to the observation data, human-generated data including microblogs, photos, consumption records, evaluations, unstructured webpages and other Volunteered Geographical Information (VGI) are incessantly generated and shared on the Internet... (more)
Created Date 2018
Contributor Shao, Hu (Author) / Li, Wenwen (Advisor) / Rey, Sergio (Advisor) / Maciejewski, Ross (Committee member) / Arizona State University (Publisher)
Subject Geography
Type Doctoral Dissertation
Extent 132 pages
Language English
Note Doctoral Dissertation Geography 2018
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis