Spatio-temporal databases aim to support extensions to existing models of Spatial Information Systems (SIS) to include time in order to better describe our dynamic environment. Although interest into this area has increased in the past decade, a number of important issues remain to be investigated

Spatio-temporal databases store information about the positions of individual objects over time. However, in many applications such as traffic supervision or mobile communication systems, only summarized data, like the number of cars in an area for a specific period, or phone-calls serviced by a

Spatio-temporal objects — that is, objects that evolve over time — appear in many applications. Due to the nature of such applications, storing the evolution of objects through time in order to answer historical queries (queries that refer to past states of the evolution) requires a very large

This article contains a comprehensive discussion of descriptive spatio-temporal statistical methods that have been applied extensively in the climatological sciences. The climate system is composed of many processes that exhibit complicated variability over a vast range of spatial and temporal

predicts repetitive data layout patterns within fixed-size memory regions. Because each technique targets a different subset of misses, their effectiveness varies across workloads and each leaves a significant fraction of misses unpredicted. In this paper, we propose Spatio-Temporal Memory Streaming (STe

This paper proposes a framework for the handling of spatio-temporal queries with inexact matches, using the concept of relation similarity. We initially describe a binary string encoding for 1D relations that permits the automatic derivation of similarity measures. We then extend this model

to monitoring for early alarms or to supporting better emergency plans. Graphical Models have been successfully used for predictions based on structured data. Here, we introduce a functional form for the model parameters that allows a spatio-temporal predictive analysis with continuous time. Though intended

spectrum of event sizes, when solved for a grid with oversized cells, that is, with cell size h that is too large to validly represent the underlying continuous system of equations. However, in every case for which it has been feasible to do the computations (moderately large L only), that spatio-temporally

between Richard Gale (1968, 1969) and James Garson (1969) resulted in a formulation of what I call the interchange criterion, the general idea of which is that correspondence is achieved by interchanging all temporal concepts for their spatial counterparts and vice versa in the original sentence

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