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Published online 29 September 2005
Published in Soil Sci Soc Am J 69:1782-1788 (2005)
DOI: 10.2136/sssaj2004.0362
© 2005 Soil Science Society of America
677 S. Segoe Rd., Madison, WI 53711 USA
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Soil Property Analysis using Principal Components Analysis, Soil Line, and Regression Models

Garey A. Fox* and Roopa Metla

Dep. of Civil Engineering, Univ. of Mississippi, University, MS 38677-1848



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  		Fig. 1. Field boundary and data collection locations for a 42.9-ha field (Field 1) in Buchanan County, IA in (A) 1997 and (B) 1998.

 


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  		Fig. 2. Field boundary and data collection locations for a 32.4-ha field (Field 2) in Fremont County, IA in (A) 1997 and (B) 1998.

 


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  		Fig. 3. Field boundary and data collection locations for a 27.1-ha field (Field 3) in Mclean County, IL (1997).

 


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  		Fig. 4. Relationship between percentage of surface organic matter (OM) and (A) first principal component (PC1) and (B) distance along the soil line (D) in SLED technique for all pixels within Field 1 (1998).

 


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  		Fig. 5. Relationship between surface cation exchange capacity (CEC) and (A) first principal component (PC1) and (B) distance along the soil line (D) in SLED technique for all pixels within Field 1 (1998).

 




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