Differentiating Soil Types Using Electromagnetic Conductivity and Crop Yield Maps
C. M. Anderson-Cook*,a,
M. M. Alleyb,
J. K. F. Roygardb,
R. Khoslac,
R. B. Nobled and
J. A. Doolittlee
a Dep. of Statistics (0439), Virginia Tech, Blacksburg, VA 24061
b Dep. of Crop and Soil Environmental Sciences (0403), Virginia Tech, Blacksburg, VA 24061
c Dep. of Soil and Crop Science, Colorado State Univ., Fort Collins, CO 80523
d Dep. of Mathematics and Statistics, University of Miami (Ohio) Oxford, OH 45056
e USDA-Forest Service, 11 Campus Blvd. (Suite 200), Newton Square, PA 19073-3200

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Fig. 1. Summaries of classification tree categorization. (a) Inverted "tree" structure for classifying observations with two explanatory variables, X1 and X2. (b) Partition of the observation space of X1 and X2 into classification regions. Values of X1 and X2 are hypothetical.
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Fig. 3. Classification partition for Bojac versus Wickham soil types using apparent electromagnetic conductivity (ECa) and 1999 no-till full-season corn yields. The classification of each rectangle is determined by whichever soil type comprises the majority of observations.
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Fig. 4. Classification partition for Bojac versus Wickham soil types using apparent electromagnetic conductivity (ECa) and 1999 no-till wheat yields The classification of each rectangle is determined by whichever soil type comprises the majority of observations.
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Fig. 5. Classification partition for Bojac 1, 2 versus Wickham soil types using apparent electromagnectic conductivity (ECa) and 1998 no till full-season corn yields. The classification of each rectangle is determined by whichever soil type comprises the majority of observations.
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Fig. 6. Classification partition for Bojac 1, 2 versus Wickham soil types using apparent electromagnetic conductivity (ECa) and 1999 no till full-season corn yields. The classification of each rectangle is determined by whichever soil type comprises the majority of observations.
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Copyright © 2002 by the Soil Science Society of America.