Many of the data-models developed for temporal databases are extensions of existing non-temporal models. However, to create models which complies as much as possible with the behaviour of phenomena in the real world, we have suggested using an ontological approach using conceptual modelling techniques. The spatiotemporal object model (STOM) introduced in this article is developed using object-o...

Observations are our means to assess spatiotemporal phenomena in the real world. They are basic units for spatiotemporal data representation and are distributed by data providers using different formats and standards. In this work, we propose an approach to discover, access and integrate spatiotemporal observations from different kinds of data sources using RDF framework and SPARQL language. Th...

With the ever-growing nature of spatiotemporal data, it is inevitable to use non-relational and distributed database systems for storing massive spatiotemporal datasets. In this chapter, the important aspects of non-relational (NoSQL) databases for storing large-scale spatiotemporal trajectory data are investigated. Mainly, two data storage schemata are proposed for storing trajectories, which ...

In this paper, we present a new conceptual modeling tool, called STXER (SpatioTemporal eXtended Entity-Relationship), to support spatiotemporal database applications. STXER provides most functions for database conceptual modeling, such as graphical user interface, SQL script generation, XML schema definition, and commercial-DBMS-oriented database creation. Compared with previous tools, STXER is...

Vagueness is often considered as an inherent property of spatiotemporal phenomena. In order to reduce this vagueness, integrity constraints should be defined to improve logical consistency of spatiotemporal databases. However, existing constraints are not adapted to control logical consistency of vague spatiotemporal objects because they are initially defined for crisp (or non–fuzzy) objects. W...

This paper defines a framework for the spatio-temporal analysis of motion imagery (MI) datasets depicting two-dimensional phenomena evolving in time. More specifically, we introduce the concept of a spatiotemporal helix as a concise representation of spatiotemporal events, modeling their path in space and the variations of their outline. We also present in some detail the automated algorithms d...

Spatiotemporal segmentation is an essential task for video analysis. The strong interconnection between finding an object’s spatial support and finding its motion characteristics makes the problem particularly challenging. Motivated by closure detection techniques in 2D images, this paper introduces the concept of spatiotemporal closure. Treating the spatiotemporal volume as a single entity, we...

Previous research on spatiotemporal database were mainly focused on modeling, indexing, and query processing, and little work has be done in the implementation of spatiotemporal database management systems. In this paper, we present an extension of Oracle, named STOC (Spatio-Temporal Object Cartridge), to support spatiotemporal data management in a practical way. The extension is developed as a...

Most geographical phenomena, if not all of them, are essentially dynamic processes instead of static forms. The continuing advances of data acquisition and dissemination technologies have made available massive amounts of spatiotemporal data for the research of such dynamic processes. In the past decade, a surge of statistical models have been proposed in GIScience and related fields for modeli...

Interpolation and prediction of spatiotemporal data are integral components of many real-world applications. Thus, approaches of interpolating and predicting spatiotemporal data have been extensively investigated. Currently, the grey dynamic model has been used to enhance the performance of interpolating and predicting spatiotemporal data. Meanwhile, the Extensible Markup Language (XML) has uni...