My Account: Log In | Join | Renew
Search
Author
Title
Vol.
Issue
Year
1st Page

Abstract

 

This article in SSSAJ

  1. Vol. 56 No. 6, p. 1848-1854
     
    Received: Nov 12, 1991
    Published: Nov, 1992


    * Corresponding author(s):
 View
 Download
 Alerts
 Permissions
 Share

doi:10.2136/sssaj1992.03615995005600060033x

Fuzzy-c-Means and Kriging for Mapping Soil as a Continuous System

  1. Inakwu O. A. Odeh ,
  2. David J. Chittleborough and
  3. Alex B. McBratney
  1. Dep. of Soil Science, Waite Agricultural Research Institute, Univ. of Adelaide, Glen Osmond, SA 5064, Australia
    School of Crop Sciences, Univ. of Sydney, Sydney, NSW 2006, Australia

Abstract

Abstract

Even though soil has long been recognized as a continous system in both the geographical and taxonomic context, there has been no practical approach to mapping soil as a continuum. Fuzzy set theory and the regionalized variable theory provide for such an approach. A predetermined optimal sampling scheme was used for sampling of pedons in an area of 627 by 375 m. The fuzzy-c-means (FCM) algorithm was first used to quantify the pedons into intragrade and extragrade classes by minimization of the fuzzy objective function. The resulting matrix of membership coefficients was used to determine membership semivariograms for the c + 1 continuous soil classes. The resulting semivariogram parameters were further used for kriging of the membership coefficients, yielding an isarithmic map for each of the c + 1 fuzzy soil classes. A composite map that presents the core areas of the continuous classification units was produced by overlaying of the isarithmic maps of the c + 1 classes. The significance of this approach to geographical (or soil) information systems is the associated minimum loss of information if fuzzy logic and operations are integrated into the systems.

Contribution from the Dep. of Soil Science, Univ. of Adelaide, and the School of Crop Sciences, Univ. of Sydney.

  Please view the pdf by using the Full Text (PDF) link under 'View' to the left.

Copyright © . Soil Science Society of America