BSDM: Big Spatial Data Management

We are living in the era of Big Data. Spatial and Spatiotemporal Data are not an exception. Mobile apps, cars, GPS devices, UAVs, ships, airplanes, space telescopes, medical devices and IoT devices are generating explosive amounts of data with spatial characteristics. Web apps and social networking systems also store vast amounts of geo-located information, like geo-located tweets, or captured mobile users' locations. Modeling, storing, querying and analyzing big spatial and spatiotemporal data is an active area of basic and applied research with many challenges. Multicore CPU / GPU processing techniques and parallel and distributed frameworks utilizing cloud infrastructures are being created and extended for novel big spatial data management solutions. The purpose of this track is to act as a forum where recent advances in Big Spatial (and Spatiotemporal, considered as a special case of Spatial) Data Management will be presented and discussed. Keywords-Big data; Spatial data; Cloud computing; Data modelling and analysis; Data processing; Systems and applications; Algorithms.