Data Model, Moving Objects

A data model for moving objects is a blueprint that describes data of interest related to movements of objects and a set of operations represented in an information or database management system. Designing an appropriate data model fosters conceptual understanding of the dynamic phenomena of moving objects, yields efficient data storage and retrieval, and further facilitates spatiotemporal analytical processes. Various data models have been proposed to efficiently and effectively store, manage, query, and analyze data about moving objects. This entry starts with the description of fundamental elements of moving objects and their abstract data types. Then it reviews data modeling approaches for representing moving objects, including conventional spatiotemporal data model, constraint model, moving object data model, semantic trajectory data model, event‐based data model, and models for handling big moving object data.

Constraint (computer-aided design) · Data mining · Data model (GIS) · Data modeling · Database · Event (particle physics) · Logical data model · Object (grammar) · Object model · Semantic data model · Set (abstract data type) · Trajectory · Advanced Database Systems and Queries · Artificial Intelligence · Computer Science · Data Management and Algorithms · Engineering · Geographic Information Systems Studies