Abstract
The purpose of this chapter is to present a critical review of existing data models for GIS applications and identify their strengths and weaknesses. First, we discuss of the data models that have been proposed for traditional database applications, including the relational, extended entity-relationship (EER), and object-oriented data models. Efforts to extend the traditional data models in order to incorporate functionalities required in GIS applications are discussed next. We further discuss extensible data models that have been proposed for GIS applications as well as other GIS data models that are not fully described by any of the previous categories. These models include the topological model, Realm, and Computational Modeling System (CMS). We conclude the chapter with a discussion on future research issues on data modeling for GIS applications.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1997 Springer Science+Business Media New York
About this chapter
Cite this chapter
Adam, N.R., Gangopadhyay, A. (1997). Data Modeling. In: Database Issues in Geographic Information Systems. Advances in Database Systems, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-6109-5_4
Download citation
DOI: https://doi.org/10.1007/978-1-4615-6109-5_4
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7799-3
Online ISBN: 978-1-4615-6109-5
eBook Packages: Springer Book Archive