Institutional Repository

A data structure for exchanging geographical information

Show simple item record

dc.contributor.author Cooper, A.K.
dc.date.accessioned 2018-06-06T13:30:05Z
dc.date.available 2018-06-06T13:30:05Z
dc.date.issued 1988
dc.identifier.citation A data structure for exchanging geographical information. Quaestiones Informaticae Vol 6 No 1 1988 en
dc.identifier.issn 0254-2757
dc.identifier.uri http://hdl.handle.net/10500/24283
dc.description.abstract Geographical information consists of non-spatial information (alphanumeric) and spatial information (vector and raster), the relationships between the non-spatial information and the spatial information, as well as the spatial relationships inherent in the spatial information, known as topology. It is undesirable for any exchange standard to lose, reduce or alter any information exchanged through the standard. For this reason, current alphanumeric and graphic exchange standards are insufficient for geographical information. The project team drawing up a proposed South African standard for the exchange of geographical information has studied the proposals and standards of other countries and has held discussions with the users and potential users of computerised geographical information in this country. The project team feels that the best model for use with the data structures of the exchange standard is the relational one. This paper describes the nature of geographical information and the advantages of the relational model. en
dc.language.iso en en
dc.publisher Computer Society of South Africa (on behalf of SAICSIT) en
dc.subject Geographical Information en
dc.subject Exchange Standard en
dc.subject Topology en
dc.subject Feature en
dc.subject Attribute en
dc.subject Relational Model en
dc.title A data structure for exchanging geographical information en
dc.type Article en
dc.description.department School of Computing en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search UnisaIR


Browse

My Account

Statistics