BOOK-CHAPTER

Spatio-Temporal Object Modeling

Abstract

Integrating spatial and temporal dimensions is a fundamental yet challenging issue in modeling geospatial data. This article presents the design of a generic model within the object-oriented paradigm to represent spatially-varying, temporally-varying, and spatio-temporally-varying information using a mechanism, called parametric polymorphism. This mechanism allows a conventional data type (e.g., string and integer) to be enhanced into a spatial, temporal, and/or spatiotemporal collection type, and so an ordinary attribute can be extended with spatial and/or temporal dimensions flexibly. An associated object query language has also been provided to support the manipulation of spatio-temporal information. The design of the model as well as the query language has given rise to a uniform representation of spatial and temporal dimensions, thereby offering a new option for the development of a spatio-temporal GIS to facilitate urban/environmental change tracking and analysis.

Keywords:
Computer science Geospatial analysis Temporal database Representation (politics) Object (grammar) Spatial analysis Data mining Theoretical computer science Artificial intelligence Cartography Geography Remote sensing

Metrics

3
Cited By
0.00
FWCI (Field Weighted Citation Impact)
10
Refs
0.23
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Data Management and Algorithms
Physical Sciences →  Computer Science →  Signal Processing
Geographic Information Systems Studies
Social Sciences →  Social Sciences →  Geography, Planning and Development
3D Modeling in Geospatial Applications
Physical Sciences →  Engineering →  Building and Construction

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