Future and Research Perspectives of Spatiotemporal Data Management Methods

This chapter presents different spatiotemporal data management models, challenges and future direction of spatiotemporal research. The spatiotemporal data model and analysis consists of four main parts such as indexing, query processing, updations and applications. The indexing and data management uses to manage past, present and future (PPF) data. The data management method is generally used to manage PPF methods and also used to manage spatial-based priority management. This chapter presents PPF data, spatial-based priority-based methods and corresponding limitations and suggestions. Finally, different issues and limitations of spatiotemporal methods in general-based, task-based, application-based and implementation-based spatiotemporal data management and future research direction are presented.