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Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications

Submission Deadline: 01 January 2019 (closed)

Guest Editors

Allison Kealy, Professor, Royal Melbourne Institute of Technology (RMIT), Australia
Qianxin Wang, Associate Professor, China University of Mining and Technology (CUMT), China
Shengjie (Patrick) Zhai, Research Professor, University of Nevada, Las Vegas (UNLV), USA


Geospatial data has always been big data, and it is becoming bigger than ever. Of the explosive 2.5 quintillion (1018) bytes of data that is being generated every day across the globe, a large portion (arguably as much as 80%) of that data are found to be geo-referenced. The academia, industry, and government agencies, on a daily basis, have to confront and address the massive challenges of storing, managing, processing, analyzing, visualizing and verifying such big geospatial data that are yet to overrun the world.

In this special issue, "Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications", we thus invite researchers and practitioners to present their original and "big" ideas and progress on handling and utilization of spatial and spatio-temporal data. Suggested topics include, but are not limited to:

• Theories and methods of handling structured and unstructured geospatial big data

• Efficient data processing and Intelligent processing method of geospatial big data

• Quality assessment of geospatial big data

• Data-intensive computation model

• Analytics of geospatial big data

• Geospatial big data visualization including virtual and augmented reality

• Innovative applications of geospatial big data

• Data privacy


Geospatial Information: Big Data; Intelligent Analysis; Virtual Reality; Data Privacy

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