International Journal of Spatio-Temporal Data Science
International Journal of Spatio-Temporal Data Science
Editor in Chief: Dr. Sugam Sharma
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
- Empowering GIS with (big) data and geo-spatial intelligence
- Spatio-temporal (big) data in remote sensing, photogrammetry and computing
- Next generation technologies
- Spatio-temporal data engineering with MapReduce and Hadoop
- 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
- As-a-Service cloud evolution
- Geomatics, spatial analysis and decision aids
- Scalable geospatial analytics for smart and precision agriculture
- Internet of Things (IoT) evolution and spatio-temporal data
User Name : sugam.k.sharma@gmail.com
Posted 22-09-2016 on 23:26:38 AEDT
Related CFPs
DMKD 2024
2024 International Conference on Data Mining and Knowledge Discovery
IJASSN
International Journal of Advanced Smart Sensor Network Systems
IJASSN
International Journal of Advanced Smart Sensor Network Systems
IJASSN
International Journal of Advanced Smart Sensor Network Systems