Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.11861/7673
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dc.contributor.authorLeung, Yeeen_US
dc.contributor.authorProf. LEUNG Kwong Saken_US
dc.contributor.authorHe, Jian Zhongen_US
dc.date.accessioned2023-03-30T03:30:42Z-
dc.date.available2023-03-30T03:30:42Z-
dc.date.issued1999-
dc.identifier.citationInternational Journal of Geographical Information Science, 1999, vol. 13 (5), pp. 475 - 498en_US
dc.identifier.issn13658816-
dc.identifier.urihttp://hdl.handle.net/20.500.11861/7673-
dc.description.abstractUnlike most of the current object-oriented geographical information systems (OOGISs) whose designs are based on the traditional spatial conceptual model emphasizing the processing of geometric features, the concept-based OOGIS proposed in this paper provides a spatial conceptual model which comprises rich spatial semantics fundamental to spatial analysis, and an object-oriented data model (OODM) which provides an appropriate and effective representation of the spatial conceptual model for efficient database management. By structuring the cognition of space through three interrelated hierarchies: namely the spatial conceptual hierarchy, the entity hierarchy and the feature hierarchy, the generic concept-based OOGIS renders an appropriate framework for the scientific investigation of space and the design of an efficient object-oriented database management system. In addition to its generic nature, the proposed OOGIS is in line withour commonsense conceptualization of space. Furthermore, it can entertain multiple-representations, and can facilitate data integration and generalization. The present investigation thus advances an effective way for OOGIS research in general and design in particular. © 1999 Taylor & Francis Group, LLC.en_US
dc.language.isoenen_US
dc.relation.ispartofInternational Journal of Geographical Information Scienceen_US
dc.titleA generic concept-based object-oriented geographical information systemen_US
dc.typePeer Reviewed Journal Articleen_US
dc.identifier.doi10.1080/136588199241166-
item.fulltextNo Fulltext-
crisitem.author.deptDepartment of Applied Data Science-
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