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Proceedings Paper

Theme-oriented generalization of soil data
Author(s): Aihong Song; Wenxiu Gao; Hongling Jia
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Paper Abstract

Soil data is an important type of categorical data, which includes spatial data describing geographic distribution of soil and attribute data describing physical and chemical soil properties. Soil data is applied in various professional studies such as soil and land resources studies, environment protection, economic analysis and urban planning etc. The themes in these professional studies are variable, therefore, the details and contents of soil data are required diversely. Soil data generalization is one of valid methods and tools to abstract and employ corresponding soil data with the themes. From the point of view, the strategies of soil data generalization should be adjusted with diverse themes, for example, generalization knowledge, sequence of operators, algorithms of operators should be different for different themes. This paper discusses the basic principles about theme-oriented generalization of soil data, and especially explores generalization knowledge and its application in different themes.

Paper Details

Date Published: 2 December 2005
PDF: 6 pages
Proc. SPIE 6045, MIPPR 2005: Geospatial Information, Data Mining, and Applications, 60453E (2 December 2005); doi: 10.1117/12.651875
Show Author Affiliations
Aihong Song, Wuhan Univ. (China)
Wenxiu Gao, Wuhan Univ. (China)
Hongling Jia, Institute of Mapping Information Engineering (China)

Published in SPIE Proceedings Vol. 6045:
MIPPR 2005: Geospatial Information, Data Mining, and Applications
Jianya Gong; Qing Zhu; Yaolin Liu; Shuliang Wang, Editor(s)

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