The correlated exploitation of heterogeneous data sources offering very large historical as
well as streaming data is important to increasing the accuracy of computations when …

Despite two decades of research in moving object databases and a few research prototypes
that have been proposed, there is not yet a mainstream system targeted for industrial use. In …

Scalable spatial query processing relies on effective spatial data partitioning for query
parallelization, data pruning, and load balancing. These are often challenged by the intrinsic …

The recent explosion in the amount of spatial data calls for specialized systems to handle
big spatial data. In this survey, we summarize the state-of-the-art work in the area of big …

Recent rapid development of wireless communication, mobile computing, global navigation
satellite systems (GNSS), and spatially enabled sensors are leading to an exponential …

In the current era of big spatial data, the vast amount of produced mobility data (by sensors,
GPS-equipped devices, surveillance networks, radars, etc.) poses new challenges related to …

Trajectory analysis is of crucial importance in several fields as social analysis, zoology,
climatology or traffic monitoring. Over the last decade, the number of mobile systems and …

Recently, MapReduce based spatial query systems have emerged as a cost effective and
scalable solution to large scale spatial data processing and analytics. MapReduce based …

Spatial query processing involves complex multidimensional objects and compute intensive
spatial operations, and therefore requires a high performance approach to meet the rapid …

Recording mobility data with GPS-enabled devices, eg, smart phones or vehicles, has
become a common issue for private persons, companies, and institutions. Consequently, the …