Spatio-temporal data access for information-based decision making

Supporting large volumes of multi-dimensional data is an inherent characteristic of modern database applications, such as geographical information systems (GIS), and image and multimedia databases. such databases need underlying systems with extended features like query languages, data models, and indexing methods, as compared to traditional databases, mainly because of the complexity of representing and retrieving data. In particular, spatio-temporal information systems must efficiently store and access potentially very large quantities of spatial and temporal data so we have developed index structures that can capture the time varying nature of moving objects, namely spatio-temporal structures. This paper describes the design of a query system for such data.