Methods to identify geosystems with a commonalty of intercomponent relationships |
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| Affiliation: | 1. Department of Statistics, Texas A&M University, USA;2. Department of Biological and Agricultural Engineering, Texas A&M University, USA;3. Departments of Ocean Engineering, Civil Engineering and Biological and Agricultural Engineering, Texas A&M University, College Station, Texas, 77845, USA;1. University of Florida, Department of Agricultural & Biological Engineering, Gainesville, Florida 32605, USA;2. University of Venice Cà Foscari, Department of Environmental Sciences, Informatics & Statistics, Venice 30170, Italy;3. Ecole Polytechnique Fédérale de Lausanne, Laboratory of Ecohydrology, CH-1015 Lausanne, Switzerland;4. Texas A&M University, Department of Ocean Engineering, College Station, Texas 77845, USA |
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| Abstract: | We estimate the effectiveness of several methods of identifying different-scale functionally integral mosaic geosystems interconnected by a common type of intercomponent relationships by considering an example of relief – vegetation system. The form of the function is used to reveal the physical process that is responsible for the spatial differentiation. A comparison is made of the informational content and the limitations of using multi-regression equations, information measures of connection, nonparametric correlation coefficients, and the Jacobi determinant. |
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