BigData 2014 - Annals of GIS (AGIS) Special Issue on "Big Data"

Annals of GIS (AGIS)
Special Issue on "Big Data"
Guest Editors: Chen Xu and Chaowei (Phil) Yang
Big Data presents unprecedented opportunities for improving our understanding about human society and natural environment to make smarter decisions. Practically we are better at getting data either about human society or about natural environment at more granular scale than previously survey or sampling based approaches. These new types of data reveal new spatiotemporal information about human society. In the realm of natural science that has been laid upon a foundation of data in modern era, new and Big Data sources, such as from lay persons, from high resolution Earth observations or from large-scale scientific simulations, imply paradigm shift in scientific research towards a fourth paradigm, data-intensive science.
The Big Data phenomena pose significant technological challenge and raise many epistemological questions. Enhancing data processing capacity has been a technological challenge for decades that driven computing science as well as technology to evolve. However, its recent manifestations in domains such as social science that craved for data or only remotely concerned about excessive data before is the new territory to be charted urgently. Meanwhile, even within the domains that are accustomed to big volume data there are questions emerging about the nature of data and the implications. Big Data was first acclaimed by commercial sectors for its enormous business potentials. However, within academia, Big Data has been envisioned innovative and even potentially revolutionary for scientific research in general and spatiotemporal research in particular, upon which this special issue is focused. This special issue of Annals of GIS on Big Data is for capture the latest advancements on various topics of Big Data in the domain of geospatial research. These topics include but not limited to.
1. What are the novel theoretical models for geospatial Big Data?
2. What are the new computational models for geospatial Big Data?
3. What are the effective measurements for data and information quality for geospatial Big Data?
4. How can Cloud Computing, Stream Computing, and etc. be applied to manage and develop geospatial Big Data solutions?
5. Next generation of geospatial cyberinfrastructure architecture, design and development for accommodating geospatial Big Data challenges.
6. Advanced database and web applications leveraging geospatial Big Data potentials.
7. Geospatial Big Data management for mobile computing.
8. Geospatial Big Data management for social media.
9. New geospatial data survey and collection platforms enabled by crowdsourcing, volunteered geographic information, and others.
10. Complex Big Data applications in geospatial science, social science, engineering and others.
Important Dates
? Aug. 23rd, 2013, abstract submission to guest editors
? Sept. 6th, 2013, full paper submission invited
? Dec. 6th, 2014, full paper submission online
? Mar. 15th, 2014, paper acceptance notification
? May 15th, 2014, paper in final form
? July 2014, special issue published
Submission Guidelines
This special issue will include 5 full papers. Manuscripts of about 5,000 words should be submitted by Dec. 6th, 2013. Each full paper will receive comments from at least three reviewers. Submissions should be double-spaced with one-inch margins all around, 12 points font size, and figures and tables inserted into the main text or at the end of it. After acceptance, authors will be sent specific guidelines for formatting text, tables, and figures.
Guest editors contact information:?
Dr. Chen Xu??
George Mason University
4400 University Dr., Fairfax, VA 22030
Phone: 703-993-9612
Email: cxu3-AT-gmu.edu
?Dr. Chaowei (Phil) Yang
George Mason University
4400 University Dr., Fairfax, VA 22030
Phone: 703-993-4742
Email: cyang3-AT-gmu.edu