Please use this identifier to cite or link to this item:
http://hdl.handle.net/20.500.11861/7707
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Leung, Yee | en_US |
dc.contributor.author | Prof. LEUNG Kwong Sak | en_US |
dc.date.accessioned | 2023-03-30T06:55:37Z | - |
dc.date.available | 2023-03-30T06:55:37Z | - |
dc.date.issued | 1993 | - |
dc.identifier.citation | International Journal of Geographical Information Systems, 1993, vol. 7 (3), pp. 201 - 213 | en_US |
dc.identifier.issn | 02693798 | - |
dc.identifier.uri | http://hdl.handle.net/20.500.11861/7707 | - |
dc.description.abstract | Employing the expert system shell discussed in part 1 of this two-part article, three simple geographical expert systems are constructed as didactic examples. The first deals with land-type classification with remotely-sensed data, the second with climatic classifications with regular data files, and the third involves discussions on building DTM-related expert systems. All are rule-based expert systems easily built from the shell. It is apparent that the shell provides a powerful software environment for developing knowledge-based GIS. Directions for further research are also outlined. © 1993 Taylor & Francis Group, LLC. | en_US |
dc.language.iso | en | en_US |
dc.relation.ispartof | International Journal of Geographical Information Systems | en_US |
dc.title | An intelligent expert system shell for knowledge-based geographical information systems: 2. some applications | en_US |
dc.type | Peer Reviewed Journal Article | en_US |
dc.identifier.doi | 10.1080/02693799308901952 | - |
item.fulltext | No Fulltext | - |
crisitem.author.dept | Department of Applied Data Science | - |
Appears in Collections: | Applied Data Science - Publication |
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