Affiliation:
1. University of California at Santa Barbara / California / United States
Abstract
This paper examines the major types of spatial data models currently known and places these models in a comprehensive framework. This framework is used to provide clarification of how varying data models, as well as their inherent advantages and disadvantages, are interrelated. It also provides an insight into how these conflicting demands may be balanced in a more systematic and predictable manner for practical applications, and reveals directions for needed future research.
Publisher
University of Toronto Press Inc. (UTPress)
Cited by
142 articles.
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