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Knowledge Based Soil Attribute Mapping In GIS: The Expector Method
Author(s) -
Corner Robert J.,
Hickey Robert J.,
Cook Simon E.
Publication year - 2002
Publication title -
transactions in gis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.721
H-Index - 63
eISSN - 1467-9671
pISSN - 1361-1682
DOI - 10.1111/1467-9671.00119
Subject(s) - raster graphics , computer science , soil map , property (philosophy) , basis (linear algebra) , data mining , geographic information system , spatial analysis , remote sensing , geography , soil science , environmental science , soil water , artificial intelligence , mathematics , philosophy , geometry , epistemology
EXPECTOR is a method of combining data and ‘expert’ knowledge within a Geographic Information System to provide information on the occurrence of spatially distributed attributes. It was developed to predict soil property values from spatially variable input data. Although initially developed to provide soil surveyors with a quantitative soil mapping method, it also has applications in land evaluation, land capability assessment, geological mapping and in precision agriculture. It operates on the basis that the state of a particular property, which may be difficult to measure directly, can be inferred from other (more measurable) entities and a knowledge of their inter–relationships. The method has been implemented as a stand–alone ‘Knowledge Editing’ module for the PC that can be linked to raster GIS packages. This paper describes the basis of the method and illustrates its use with an example describing the production of a surface clay content map for a small catchment in south–western Western Australia.