Dear Colleagues,

Data warehousing has been a topic of interest for researchers and practitioners for several decades. As a consequence, the foundational concepts of data warehouse systems are already mature and consolidated. Starting from these concepts, the field has been steadily growing in many different ways. On the one hand, new kinds of data and data models have been introduced. Some of them have been successfully implemented in commercial and open-source systems. This is the base of spatial data.   Further, nowadays, enormous amounts of data are produced and collected through many different kinds of devices, such as smartphones, sensors, satellites, and social networks, among others. Most of these are available for being exploited by data scientists and researchers in almost any field of science and profession. A common characteristic of these data is the spatial information implicitly and explicitly contained in them. On the other hand, new architectures (e.g., hardware and software for massive parallel computation, columnar, and key-valued database systems) are being developed for coping with the massive amount of information of different kinds that must be processed in today’s decision-support systems.    
This Special Issue aims at putting together the issues above, bridging the gap between data warehouses, spatial data analysis, and new big data technologies. New and innovative work on data models, architectures, query languages (among other related topics), addressing the problems above, are invited to be submitted to this Special Issue. Innovative real-world case studies, and industry solutions are welcome too, as well as comprehensive high-quality survey papers providing an in-depth analysis of the problem and open research topics. 

Prof. Alejandro Vaisman
Prof. Esteban Zimányi
Guest Editors

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• geographical information systems
• data warehousing
• mobility data warehouses
• big spatial data warehouses
• spatial decision support systems