International Journal of Spatio-Temporal Data Science
- Editor in Chief
- Dr. M.A. Dorgham
- ISSN online
- ISSN print
- 4 issues per year
The rapid pace of data growth through proliferating, disparate location-sensing sources has given rise to a paradigm shift in how new age spatio-temporal (big) data is processed. Confidence in existing/traditional data engineering capabilities is gradually fading, triggering an urgent need for the next generation data management and analytical frameworks to deal with scalable spatio-temporal big data. IJSTDS addresses the issues/challenges increasingly posed by overly complex and geographically distributed spatio-temporal data, a rapidly growing area in the realm of big data.
Topics covered include
- Algorithms, applications and challenges
- Spatio-temporal (big) data in GIS, remote sensing, photogrammetry and computing
- Next-generation technologies for data
- Spatio-temporal data engineering
- Scalable spatio-temporal data analytics issues and challenges
- NoSQL solutions
- Scalable geospatial analytics for satellite and aerial imagery
- Rich and interactive visual and media analytics
- Query advancements
- Cloud computing support in data engineering, management and processing
- Geomatics, spatial analysis and decision aids
- Scalable geospatial analytics for smart and precision agriculture
- Internet of Things evolution and spatio-temporal data
- Artificial intelligence, machine learning and deep learning with data
- Blockchain technology for data and information
As data-driven research is rapidly gaining momentum, IJSTDS intends to publish high-quality scholarly original research on all aspects of spatio-temporal data science. The primary mission of IJSTDS is to be instrumental in the advancements of contemporary spatio-temporal data science. It focuses on improvement and development of new tools and techniques, algorithms for spatio-temporal data science and a wide variety of data-driven applied research across diverse domains.
The intended audience of IJSTDS will be researchers from academia and industry and practitioners who deal with spatio-temporal data from the various relevant domains. The readership will include academics, applied statisticians, archivists, consultants, data analysts and data miners, database administrators, educators and graduate students, engineers, librarians, management scientists, operation researchers, policy makers, problem solvers and decision makers, programmers, and strategic planners.
IJSTDS publishes high quality original papers, review papers, technical reports, case studies, conference reports and book reviews. Special Issues devoted to important topics in spatio-temporal data science will occasionally be published.
- Sharma, Sugam, Iowa State University, USA
Editor in Chief
- Dorgham, M.A., International Centre for Technology and Management, UK
- Chehbi-Gamoura, Samia, University of Strasbourg, France
- Lomotey, Richard, Pennsylvania State University, USA
- Wachowicz, Monica, University of New Brunswick, Canada
Editorial Board Members
- Amirian, Pouria, University of Oxford, UK
- Basiri, Anahid, University of Southampton, UK
- Bojic, Iva, Massachusetts Institute of Technology, USA
- Chang, Victor, Aston University, UK
- Gadia, Shashi, Iowa State University, USA
- Goundar, Sam, RMIT University, Vietnam
- Goyal, S.B., City University of Malaysia, Malaysia
- Hu, Jinyu (Jenny), Stanford University, USA
- Iglesias Prieto, Andres, University of Cantabria, Spain
- Iqbal, Rahat, Coventry University, UK
- Jakobczak, Dariusz Jacek, Koszalin University of Technology, Poland
- Kolekar, Maheshkumar H., Indian Institute of Technology Patna, India
- Kor, Ah-Lian, Leeds Beckett University, UK
- Li, Kun, Google Inc., USA
- Liiv, Innar, University of Oxford, UK
- Mandal, Debasis, Synopsys, Inc., USA
- Mills, Aaron, BAE Systems, USA
- Peddoju, Sateesh K., Indian Institute of Technology Roorkee, India
- Qamar, Shamimul, King Khalid University, Saudi Arabia
- Rombo, Simona E., Università degli Studi di Palermo, Italy
- Sharma, Subhash C., Indian Institute of Technology Roorkee, India
- Shukla, Parijat, National University of Ireland, Ireland
- Srivastava, Praveen Ranjan, Indian Institute of Management, Rohtak, India
- Sumalpong-Montenegro, Chuchi, Silliman University, Philippines
- Sureephong, Pradorn, Chiang Mai University, Thailand
- Tim, U. Sunday, Iowa State University, USA
- Tomaiuolo, Michele, University of Parma, Italy
- Varfolomeyev, Aleksey, Petrozavodsk State University, Russian Federation
- Vendrusculo, Laurimar G., Ministry of Agriculture, Brazil
- Wiktorski, Tomasz, University of Stavanger, Norway
- Yahyapour, Ramin, Georg-August-Universität Göttingen, Germany
- Yerramilli, Sudha, Jackson State University, USA
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