Selected Papers from the Workshop on Geospatial Big Data–Trends, Applications, and Challenges (GBD-TAC)

A special issue of Information (ISSN 2078-2489).

Deadline for manuscript submissions: closed (25 November 2016) | Viewed by 187

Special Issue Editors


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Guest Editor
1. Department of Geomatic Sciences, University of Laval, Quebec, Canada
2. Faculty of Sciences, University of El-Manar, Tunisia
Interests: geospatial big data; quality of geospatial data; geospatial decision support systems; geospatial intelligent systems

E-Mail
Guest Editor
1. Department of Geomatic Sciences, University of Laval, Quebec, Canada
2. Enterprise Architecture Expert, Desjardins Financial, Montreal, Canada
Interests: geospatial data uncertainty; risk analysis; quality of geospatial data; geospatial big data

Special Issue Information

Dear Colleagues,

The Special Issue on “Geospatial Big Data–Trends, Applications, and Challenges (GBD-TAC)” aims to bring leading researchers and practitioners from a variety of fields and operating on data collection, processing, storage, and visualization to present and promote their latest research and development works and discuss current trends, applications, and challenges related to Geospatial Big Data (GBD).

Geospatial Big Data has become ubiquitous in modern society, and are currently attracting increasing research and development attention in a wide range of domains. Efforts made so far have resulted in substantial progress in understanding the content and characteristics of this new form of data, developing methods and tools for acquiring and disseminating such information, and understanding their social impact. Despite this progress, Geospatial Big Data still face many challenges, particularly related poor data quality, semantic heterogeneity as data comes from different sources, and data security. Assessing the Geospatial Big Data authenticity, validity, and uncertainty, determining the appropriate sources of data, overcoming heterogeneity barriers, and ultimately understanding what motivates individuals and social networks to contribute to Geospatial Big Data efforts are key issues that need to be addressed. You are cordially invited to submit a paper for consideration.

We particularly solicit original research contributions, position papers, and surveys addressing the themes below.

  • Geospatial information acquisition and dissemination methods in the context of Big Data
  • Security issues in acquisition and dissemination of geospatial data
  • Uncertainty in GBD
  • Geospatial Data quality issues
  • GBD life-cycle and interoperability
  • Semantic heterogeneity issues in GBD
  • Social networks and GBD
  • The relationship between GBD, Volunteered geographic information (VGI), crowdsourcing, and related concepts
  • GBD analytics and processing
  • GBD for improved decision-making and Business Intelligence
  • The impacts of big data on designing Geographic Information Systems (GIS)
  • GBD and hazard management
  • GBD and pattern discovery
  • Open data
  • Unstructured data
  • Smart GBD

Dr. Tarek Sboui
Dr. Joel Grira
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Geospatial/Spatial Big Data (GBD)
  • Spatial heterogeneity
  • Uncertainty in Spatial data
  • Spatial data quality
  • Spatial data and social networks
  • Internet of things
  • Decision-making and Business Intelligence

Published Papers

There is no accepted submissions to this special issue at this moment.
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