Spatio-temporal events are collected at high levels of detail (LoDs) in many phenomena. Both spatial and temporal characteristics of data can be expressed at different LoDs. Depending on the level of detail, different spatiotemporal patterns can be detected, and in some specific cases spatio-temporal patterns are just detected in some LoDs [1]. It is crucial to model spatio-temporal phenomena h...

Schema versioning provides a mechanism for handling change in the structure of database systems and has been investigated widely, both in the context of static and temporal databases. With the growing interest in spatial and spatio-temporal data as well as the mechanisms for holding such data, the spatial context within which data is formatted also becomes an issue. This paper presents a genera...

In recent years, spatio-temporal data are increasingly recorded in database-enabled information systems. To share the beneet, often, a public data access is provided utilizing WWW-based visual interfaces. If spatio-temporal data are queried, data visualization and exploration in a spatial and temporal context is needed to better present and analyze spatio-temporal behaviours and relationships. ...

With the fast development of various positioning techniques such as Global Position System (GPS), mobile devices and remote sensing, spatio-temporal data has become increasingly available nowadays. Mining valuable knowledge from is critically important to many real-world applications including human mobility understanding, smart transportation, urban planning, public safety, health care environ...