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

Authors

Qianxing Wang, China University of Mining and TechnologyFollow
Allison Kealy, Royal Melbourne Institute Technology University
Shengjie Zhai, University of Nevada, Las VegasFollow

Document Type

Letter to the Editor

Publication Date

1-1-2019

Publication Title

Computer Modeling in Engineering and Sciences

Publisher

Tech Science Press

Volume

119

Issue

2

First page number:

245

Last page number:

245

Abstract

We live in the era of ‘Big Data’. In particular, Geospatial data, whether captured through remote sensors (e.g., satellite imagery) or generated from large-scale simulations (e.g., climate change models) have always been significantly large in size. Over the last decade however, advances in instrumentation and computation has seen the volume, variety, velocity, and veracity of this data increase exponentially. Of the 2.5 quintillion (1018) bytes of data that are generated on a daily basis across the globe, a large portion (arguably as much as 80%) is found to be geo-referenced. Therefore, this special issue is dedicated to the innovative theories, methods, analytics, and applications of geospatial big data.

Disciplines

Mechanical Engineering

File Format

pdf

File Size

95 KB

Language

English

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 License.

Repository Citation

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 and Sciences, 119(2), 245-245. Tech Science Press.
http://dx.doi.org/10.32604/cmes.2019.06589