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Introduction for the Special Issue on Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications

Qianxin Wang1,*, Allison Kealy2, Shengjie Zhai3

School of Environment Science and Spatial Informatics, China University of Mining and Technology, Xuzhou, 22116, China.
School of Science, Royal Melbourne Institute Technology University, Melbourne, 3001, Australia.
Department of Mechanical Engineering, University of Nevada, Las Vegas, Nevada , 89154, USA.

* Corresponding Author: Qianxin Wang. Email: email

(This article belongs to the Special Issue: Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications)

Computer Modeling in Engineering & Sciences 2019, 119(2), 245-247. https://doi.org/10.32604/cmes.2019.06589

Abstract

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APA Style
Wang, Q., Kealy, A., Zhai, S. (2019). Introduction for the special issue on beyond the hypes of geospatial big data: theories, methods, analytics, and applications. Computer Modeling in Engineering & Sciences, 119(2), 245-247. https://doi.org/10.32604/cmes.2019.06589
Vancouver Style
Wang Q, Kealy A, Zhai S. Introduction for the special issue on beyond the hypes of geospatial big data: theories, methods, analytics, and applications. Comput Model Eng Sci. 2019;119(2):245-247 https://doi.org/10.32604/cmes.2019.06589
IEEE Style
Q. Wang, A. Kealy, and S. Zhai, “Introduction for the Special Issue on Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications,” Comput. Model. Eng. Sci., vol. 119, no. 2, pp. 245-247, 2019. https://doi.org/10.32604/cmes.2019.06589

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cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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