Introduction to Object-Oriented Spatio-Temporal Data Modeling

No matter what kind and where you get your time series data, the management of this data is a difficult issue that affects multiple levels of information modeling. The simplest questions are how to store, retrieve and display this data, but handling spatio-temporal data can become quite complicated depending on your application requirements. While mathematical theory and object-oriented concepts can be used to integrate space and time in a seamless manner, practical case studies are not yet in great abundance.

This workshop presents the current state of knowledge in developing a spatio-temporal data model. It is designed to provide fundamentals of spatio-temporal data modeling; a case study of urban applications at the county level; various issues related with modeling such as how to structure, store, query, and display time series data.

Specific topics include:

• What are space and time, and how they can be integrated
• Introduction to object-oriented modeling
• Mathematical and object-oriented approaches
• Database concepts
• Modeling spatio-temporal data at conceptual, logical, and physical levels
• Components of a spatio-temporal data model
• How to design spatial, temporal and spatio-temporal query operators
• Various issues and case study related to modeling Land Parcels
• Discussion of environmental and other case studies

Intended Audience: Intended for technical managers and designers of spatial databases, and applications dealing with time series data. This workshop will help managers and designers to better understand the complex process of designing and implementing a spatio-temporal database. Understanding of relational database management systems (RDBMS) and object-relational databases is required, and programming experience will be helpful.

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