A Conceptual Framework and Comparison of Spatial Data Models

Bibliographic Data

ID14702377
AuthorsDonna J Peuquet (University of California at Santa Barbara / California / United States, corresponding author)
Year1984
Volume21
Issue4
Pages66-113
Publication date1984-12-01
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueCartographica The International Journal for Geographic Information and Geovisualization (JOURNAL)
Journal identifiersISSN: 0317-7173 • E-ISSN: 1911-9925
PublisherUniversity of Toronto Press Inc. (UTPress) (PUBLISHER)
DOI10.3138/d794-n214-221r-23r5
OpenAlexW2054711117
LanguageEN
Citations received15
References cited2

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

Conceptual framework · Data mining · Data science · Epistemology · Management science · 3D Modeling in Geospatial Applications · Computer Science · Data Management and Algorithms · Engineering · Geographic Information Systems Studies

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