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United States Department of Agriculture

Agricultural Research Service

Title: On Interpretation and Misinterpretation of Fractal Models

item Pachepsky, Yakov - DUKE UNIVERSIYT
item Gimenez, Daniel
item Logsdon, Sally
item Allmaras, Raymond
item Kozak, Edmund - POLISH ACADEMY OF SCI

Submitted to: Soil Science Society of America Journal
Publication Type: Peer Reviewed Journal
Publication Acceptance Date: April 1, 1998
Publication Date: N/A

Technical Abstract: The use of one fractal model to search for errors in results obtained with another fractal model is a futile exercise. Since each model is necessarily based on a set of assumptions about the formation of fractal features, none of these models can be presumed better than others, unless it is proven that certain soil features were formed in the way described by the model. We suggest that advances in the application of fractal concepts in soil science can only be achieved by critically examining the assumptions behind these models and by testing the models against measured data.

Last Modified: 4/22/2015
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