In this paper a new concept, spatio-temporal generalized frequency response functions (STGFRF), is introduced for the first time to characterize nonlinear spatio-temporal dynamical systems in the frequency domain. A probing method is developed to calculate the STGFRFs recursively for both continuous and discrete spatio-temporal systems. The algorithm is computationally compact and exposes the e...

Spatio-temporal index is one of the key technologies applied to spatio-temporal database engines. Methods for spatio-temporal indexes which consider efficiency of both temporal queries and spatial queries become hot topics in current research. In the versionincrement based spatio-temporal data model, “Version” is used to represent states of geographical phenomena, while “increment” changes of s...

Time and space are ubiquitous aspects of reality. Temporal and spatial information appear together in many everyday activities, and many information systems of modern life should be able to handle such information. For example, information systems for traffic control, fleet management, environmental management, military applications, local and public administration, and academic institutions ne...

In this paper, we propose a solution to the problem of designing a flexible query processor for spatio-temporal databases. Our solution is to design a bottom-up interface, whose parameters handle different spatiotemporal applications. We propose a relational schema that can cope with various spatio-temporal data types. Based on this model, we have design a flexible query processor for spatio-te...

We present a method to estimate Gibbs distributions with spatio-temporal constraints on spike trains statistics. We apply this method to spike trains recorded from ganglion cells of the salamander retina, in response to natural movies. Our analysis, restricted to a few neurons, performs more accurately than pairwise synchronization models (Ising) or the 1-time step Markov models (Marre et al., ...

Preface Complex, spatial and spatio-temporal data arise in a plethora of modern database and data mining applications and complex information systems. Complex, spatial and spatio-temporal data require more and more for effective and efficient models, algorithms and techniques for representing, managing, querying , indexing and discovering useful knowledge beyond such kind of data. A successful ...

Spatio-temporal querying and retrieval is a challenging task due to the lack of simple user interfaces for building queries despite the availability of powerful indexing structures and querying languages. In this paper, we propose Query-by-Gaming scheme for spatio-temporal querying that can benefit from gaming controller for building queries. By using Query-by-Gaming, we introduce our spatio-te...

This research demonstrates the application of association rule mining to spatio-temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A → B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio-temporal association rule occurs when there is a spatio-temporal relationship in th...