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

Qianxin Wang,Allison Kealy,Shengjie Zhai

doi:10.32604/cmes.2019.06589

Qianxin Wang, Allison Kealy + Show 1 more

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https://doi.org/10.32604/cmes.2019.06589

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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. A total of 37 manuscripts were submitted and 10 were selected based on a robust peer-reviewed process. The 10 articles are authored by researchers from seven research institutes and universities, and reflect state of the research developments and initiatives in the collection, processing, modeling, analysis as well as applications of geospatial big data and future directions. Specifically, topics across global navigation satellite systems (GNSS), geographic information system (GIS), remote sensing (RS), land-use planning, environmental sustainability, and mining deformation monitoring are included.

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Introduction for the Special Issue onBeyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and ApplicationsAllison Kealy Royal Melbourne Institute Technology UniversityFollow this and additional works at: https://digitalscholarship.unlv.edu/me_fac_articlesPart of the Mechanical Engineering CommonsRepository Citation Wang, Q., Kealy, A., Zhai, S. (2019)
You are free to use this Letter to the Editor in any way that is permitted by the copyright and related rights legislation that applies to your use
This Letter to the Editor has been accepted for inclusion in Mechanical Engineering Faculty Publications by an authorized administrator of Digital Scholarship@UNLV

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Introduction

Follow this and additional works at: https://digitalscholarship.unlv.edu/me_fac_articles Introduction for the Special Issue on Beyond the Hypes of Geospatial Big Data: Theories, Methods, Analytics, and Applications. This Letter to the Editor has been accepted for inclusion in Mechanical Engineering Faculty Publications by an authorized administrator of Digital Scholarship@UNLV.

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