ABSTRACT
Department of Geography, University of California at Santa Barbara, Santa Barbara, California 93106
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 we may balance conflicting requirements in a more systematic and predictable manner for practical applications, and reveals directions for needed future research.
