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Article: Structured methods for GIS design part 2: An object-oriented system for physical plan monitoring

TitleStructured methods for GIS design part 2: An object-oriented system for physical plan monitoring
Authors
Issue Date1994
PublisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceus
Citation
Computers, Environment And Urban Systems, 1994, v. 18 n. 1, p. 19-41 How to Cite?
AbstractPart 1 of this two-paper series presented a case study illustrating how structured data analysis methods may be employed to order the data requirements of a spatial planning domain for efficient GIS design. This paper uses a second case study to extend the discussion in three ways. First, it demonstrates the application of a different set of data analysis tools to a similar system design problem. Second, it gives a more detailed treatment of the task of defining elementary information system functions. Third, the tools used are compatible with the design of a more sophisticated postrelational database system and the two case studies therefore illustrate a technical advancement in the application of structured methods for GIS design. The methodology presented reduces an entity-attribute model of the plan monitoring domain to a digraph via subtype matrix analysis. By labelling the arcs of the graph, a semantic network formalism is created which is capable of direct implementation as an object-oriented database. Detailed object descriptions (database schemata) are constructed and discussed in order to emphasise the important relationship between structured methods of data analysis and system functionality. © 1994.
Persistent Identifierhttp://hdl.handle.net/10722/183425
ISSN
2015 Impact Factor: 2.092
2015 SCImago Journal Rankings: 1.192

 

DC FieldValueLanguage
dc.contributor.authorWebster, CJen_US
dc.contributor.authorOmare, CNen_US
dc.date.accessioned2013-05-27T08:38:04Z-
dc.date.available2013-05-27T08:38:04Z-
dc.date.issued1994en_US
dc.identifier.citationComputers, Environment And Urban Systems, 1994, v. 18 n. 1, p. 19-41en_US
dc.identifier.issn0198-9715en_US
dc.identifier.urihttp://hdl.handle.net/10722/183425-
dc.description.abstractPart 1 of this two-paper series presented a case study illustrating how structured data analysis methods may be employed to order the data requirements of a spatial planning domain for efficient GIS design. This paper uses a second case study to extend the discussion in three ways. First, it demonstrates the application of a different set of data analysis tools to a similar system design problem. Second, it gives a more detailed treatment of the task of defining elementary information system functions. Third, the tools used are compatible with the design of a more sophisticated postrelational database system and the two case studies therefore illustrate a technical advancement in the application of structured methods for GIS design. The methodology presented reduces an entity-attribute model of the plan monitoring domain to a digraph via subtype matrix analysis. By labelling the arcs of the graph, a semantic network formalism is created which is capable of direct implementation as an object-oriented database. Detailed object descriptions (database schemata) are constructed and discussed in order to emphasise the important relationship between structured methods of data analysis and system functionality. © 1994.en_US
dc.languageengen_US
dc.publisherPergamon. The Journal's web site is located at http://www.elsevier.com/locate/ceusen_US
dc.relation.ispartofComputers, Environment and Urban Systemsen_US
dc.titleStructured methods for GIS design part 2: An object-oriented system for physical plan monitoringen_US
dc.typeArticleen_US
dc.identifier.emailWebster, CJ: cwebster@hku.hken_US
dc.identifier.authorityWebster, CJ=rp01747en_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0028666301en_US
dc.identifier.volume18en_US
dc.identifier.issue1en_US
dc.identifier.spage19en_US
dc.identifier.epage41en_US
dc.publisher.placeUnited Kingdomen_US
dc.identifier.scopusauthoridWebster, CJ=7201838784en_US
dc.identifier.scopusauthoridOmare, CN=6508237175en_US

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