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.

• 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