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

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

Summary

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



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

Published Papers


  • LNA Design for Future S Band Satellite Navigation and 4G LTE Applications
  • Abstract A good design of LNA for S band satellite navigation receivers and 4G LTE wireless communication system has been implemented in this paper. Due to increased congestion in the present L band, the S Band frequency from 2483.5-2500 MHz has been allocated for the future satellite navigation systems. For this purpose ATF-34143 amplifier (pHEMT) having high electron mobility and fast switching response has been chosen due to its very low Noise Figure (NF). The amplifier has been designed having bandwidth of 0.8 GHz from 1.8-2.6 GHz. Because of the large bandwidth, the amplifier could serve many wireless communication applications including… More
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  • RAIM Algorithm Based on Fuzzy Clustering Analysis
  • Abstract With the development of various navigation systems (such as GLONASS, Galileo, BDS), there is a sharp increase in the number of visible satellites. Accordingly, the probability of multiply gross measurements will increase. However, the conventional RAIM methods are difficult to meet the demands of the navigation system. In order to solve the problem of checking and identify multiple gross errors of receiver autonomous integrity monitoring (RAIM), this paper designed full matrix of single point positioning by QR decomposition, and proposed a new RAIM algorithm based on fuzzy clustering analysis with fuzzy c-means (FCM). And on the condition of single or… More
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  • Inferring Spatial Distribution Patterns in Web Maps for Land Cover Mapping
  • Abstract Web maps represent an effective source for land cover mapping in capturing human activities. However, due to spatial heterogeneity, previous research has mainly focused on generating land cover maps in partial areas. Inferring spatial distribution patterns in Web maps may provide an alternative perspective on improving map production on a larger scale. This paper represents a novel approach to investigating the spatial distribution in Web maps for land cover mapping. First, linear features from Web maps are utilised to delineate parcels with insufficient Web map data for classification. Then, spatial factors are constructed from point and polygon features to identify… More
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  • 3D Web Reconstruction of a Fibrous Filter Using Sequential Multi-Focus Images
  • Abstract A fibrous filtering material is a kind of fiber assembly whose structure exhibits a three-dimensional (3D) network with dense microscopic open channels. The geometrical/morphological attributes, such as orientations, curvatures and compactness, of fibers in the network is the key to the filtration performance of the material. However, most of the previous studies were based on materials’ 2D micro-images, which were unable to accurately measure these important 3D features of a filter’s structure. In this paper, we present an imaging method to reconstruct the 3D structure of a fibrous filter from its optical microscopic images. Firstly, a series of images of… More
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