This seminar describes the state-of-the-art research in the area of big spatial data and it consists of four parts. Part I gives a background about big spatial data and the limitations of traditional systems in handling such data. Part II gives an overview of the four main components that constitute a system for big spatial data, namely, language, indexing, query processing, and visualization. In part III, we delve into the details of each of these four components and describe the recent research efforts in each component while highlighting the open research problems. Finally, part IV wraps up the seminar by describing case studies of systems and end-user applications for big spatial data. This part describes how the four components are implemented in these systems and how they are used in end-user applications.